Machine Learning Algorithms Python in Sector 14 Old DLF Colony, Gurgaon

Master Machine Learning Algorithms Python with industry experts, live capstone projects, and comprehensive career assistance.

Looking for professional Machine Learning & training in Gurugram Our comprehensive course at Blazingminds Learning is designed for students, working professionals, and business owners who want to gain practical expertise in Model Training, Machine Learning, Regression Analysis, Logistic Regression, Model Optimization, Machine Learning Algorithms, Predictive Modeling, Data Preprocessing, Artificial Intelligence, Feature Engineering, Supervised Learning, Applied Machine Learning, Algorithms, Model Evaluation. The training covers industry-relevant concepts, hands-on projects, real-world case studies, and certification preparation to help learners build job-ready skills.

With expert trainers, flexible learning schedules, and placement assistance, our Machine Learning course in Gurugram helps participants stay competitive in today's job market. Whether you are a beginner or an experienced professional looking to upskill, this program provides the knowledge and practical experience needed to succeed.

Enroll today in the leading Machine Learning training institute in Gurugram and take the next step toward your career goals.

Industry Recognized Course

What You'll Learn

Build machine learning models in Python using popular machine learning libraries NumPy & scikit-learn

Understand ML algorithms,Build & train supervised machine learning models for prediction & binary classification tasks, including linear regression & logistic regression

Course Curriculum

30 Modules • 388 Lessons

What is Machine Learning?

10 min Preview

Master What is Machine Learning? in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

AI vs ML vs Deep Learning

10 min

Master AI vs ML vs Deep Learning in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Traditional programming vs ML

10 min

Master Traditional programming vs ML in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Supervised learning

10 min

Master Supervised learning in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Unsupervised learning

10 min

Master Unsupervised learning in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Semi-supervised learning

10 min

Master Semi-supervised learning in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Regression

10 min

Master Regression in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Classification

10 min

Master Classification in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Clustering

10 min

Master Clustering in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Features

10 min

Master Features in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Targets

10 min

Master Targets in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Training data

10 min

Master Training data in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Validation data

10 min

Master Validation data in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Test data

10 min

Master Test data in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Model

10 min

Master Model in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Parameters

10 min

Master Parameters in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Hyperparameters

10 min

Master Hyperparameters in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Training

10 min

Master Training in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Inference

10 min

Master Inference in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Generalization

10 min

Master Generalization in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Mean

10 min Preview

Master Mean in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Median

10 min

Master Median in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Variance

10 min

Master Variance in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Standard deviation

10 min

Master Standard deviation in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Distribution

10 min

Master Distribution in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Correlation

10 min

Master Correlation in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Covariance

10 min

Master Covariance in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Probability basics

10 min

Master Probability basics in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Linear Algebra

10 min

Master Linear Algebra in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Scalars

10 min

Master Scalars in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Scalars

10 min

Master Vectors in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Vectors

10 min

Master Matrices in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Matrices

10 min

Master Matrix multiplication in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Matrix multiplication

10 min

Master Dot product in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Dot product

10 min

Master Dimensions in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Dimensions

10 min

Master Calculus in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Calculus

10 min

Master Function intuition in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Function intuition

10 min

Master Derivative in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Derivative

10 min

Master Gradient in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Gradient

10 min

Master Gradient descent in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Gradient descent

10 min Preview

Master Feature matrix X in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Target y

10 min

Master Target y in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Train/test split

10 min

Master Train/test split in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Validation strategy

10 min

Master Validation strategy in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Numerical features

10 min

Master Numerical features in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Categorical features

10 min

Master Categorical features in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Missing values

10 min

Master Missing values in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Scaling

10 min

Master Scaling in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Normalization

10 min

Master Normalization in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Encoding

10 min

Master Encoding in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Outliers

10 min

Master Outliers in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Feature distributions

10 min

Master Feature distributions in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Data leakage

10 min

Master Data leakage in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Imbalanced data

10 min

Master Imbalanced data in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Reproducibility

10 min

Master Reproducibility in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Why Scikit-learn?

10 min Preview

Master Why Scikit-learn? in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Estimator API

10 min

Master Estimator API in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

fit()

10 min

Master fit() in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

predict()

10 min

Master predict() in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

transform()

10 min

Master transform() in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

fit_transform()

10 min

Master fit_transform() in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Train/test split

10 min

Master Train/test split in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Preprocessing

10 min

Master Preprocessing in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Metrics

10 min

Master Metrics in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Model persistence

10 min

Master Model persistence in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Random state

10 min

Master Random state in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Reproducible experiments

10 min

Master Reproducible experiments in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Regression problem

10 min Preview

Master Regression problem in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Simple linear regression

10 min

Master Simple linear regression in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Multiple linear regression

10 min

Master Multiple linear regression in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Prediction equation

10 min

Master Prediction equation in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Loss function

10 min

Master Loss function in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Residuals

10 min

Master Residuals in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Ordinary least squares intuition

10 min

Master Ordinary least squares intuition in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Training

10 min

Master Training in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Prediction

10 min

Master Prediction in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

MAE

10 min

Master MAE in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

MSE

10 min

Master MSE in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

RMSE

10 min

Master RMSE in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

R²

10 min

Master R² in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Residual analysis

10 min

Master Residual analysis in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Underfitting

10 min

Master Underfitting in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Overfitting

10 min

Master Overfitting in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Why models overfit

10 min Preview

Master Why models overfit in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Bias vs variance

10 min

Master Bias vs variance in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Ridge regression

10 min

Master Ridge regression in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Lasso regression

10 min

Master Lasso regression in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Elastic Net

10 min

Master Elastic Net in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Regularization intuition

10 min

Master Regularization intuition in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Feature selection

10 min

Master Feature selection in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Coefficients

10 min

Master Coefficients in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Model complexity

10 min

Master Model complexity in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Classification problems

10 min Preview

Master Classification problems in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Binary classification

10 min

Master Binary classification in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Multiclass classification

10 min

Master Multiclass classification in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Logistic regression

10 min

Master Logistic regression in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Decision boundary

10 min

Master Decision boundary in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Probability predictions

10 min

Master Probability predictions in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Thresholds

10 min

Master Thresholds in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Confusion matrix

10 min

Master Confusion matrix in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

True Positive

10 min

Master True Positive in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

True Negative

10 min

Master True Negative in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

False Positive

10 min

Master False Positive in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

False Negative

10 min

Master False Negative in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Precision

10 min

Master Precision in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Recall

10 min

Master Recall in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

F1

10 min

Master F1 in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

ROC-AUC

10 min

Master ROC-AUC in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

PR-AUC

10 min

Master PR-AUC in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Class imbalance

10 min

Master Class imbalance in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Decision tree intuition

10 min Preview

Master Decision tree intuition in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Splits

10 min

Master Splits in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Gini impurity

10 min

Master Gini impurity in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Entropy

10 min

Master Entropy in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Information gain

10 min

Master Information gain in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Tree depth

10 min

Master Tree depth in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Overfitting trees

10 min

Master Overfitting trees in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Random Forest

10 min

Master Random Forest in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Bagging

10 min

Master Bagging in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Feature importance

10 min

Master Feature importance in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Gradient boosting intuition

10 min

Master Gradient boosting intuition in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

XGBoost-style boosting concepts

10 min

Master XGBoost-style boosting concepts in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Scikit-learn boosting models

10 min

Master Scikit-learn boosting models in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

KNN

10 min Preview

Master KNN in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Distance

10 min

Master Distance in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Distance

10 min

Master Neighbors in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Neighbors

10 min

Master Classification in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Classification

10 min

Master Regression in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Regression

10 min

Master Scaling requirements in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Scaling requirements

10 min

Master Choosing K in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Choosing K

10 min

Master SVM in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

SVM

10 min

Master Margin in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Margin

10 min

Master Support vectors in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Support vectors

10 min

Master Linear SVM in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Margin

10 min

Master Kernel intuition in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Support vectors

10 min

Master RBF in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Linear SVM

10 min

Master Hyperparameters in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Kernel intuition

10 min Preview

Master What is unsupervised learning? in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

RBF

10 min

Master Clustering in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Hyperparameters

10 min

Master K-Means in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Centroids

10 min

Master Centroids in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Distance

10 min

Master Distance in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Choosing K

10 min

Master Choosing K in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Elbow method

10 min

Master Elbow method in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Silhouette score

10 min

Master Silhouette score in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Hierarchical clustering

10 min

Master Hierarchical clustering in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

DBSCAN

10 min

Master DBSCAN in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Outlier detection

10 min

Master Outlier detection in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Cluster interpretation

10 min

Master Cluster interpretation in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Curse of dimensionality

10 min Preview

Master Curse of dimensionality in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Why reduce dimensions?

10 min

Master Why reduce dimensions? in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

PCA

10 min

Master PCA in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Variance

10 min

Master Variance in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Principal components

10 min

Master Principal components in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Explained variance

10 min

Master Explained variance in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Visualization

10 min

Master Visualization in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Feature compression

10 min

Master Feature compression in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

PCA before clustering

10 min

Master PCA before clustering in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

PCA limitations

10 min

Master PCA limitations in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Why pipelines?

10 min Preview

Master Why pipelines? in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Transformer concept

10 min

Master Transformer concept in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Pipeline

10 min

Master Pipeline in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

ColumnTransformer

10 min

Master ColumnTransformer in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Numerical pipeline

10 min

Master Numerical pipeline in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Categorical pipeline

10 min

Master Categorical pipeline in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Imputation

10 min

Master Imputation in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Scaling

10 min

Master Scaling in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Encoding

10 min

Master Encoding in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Model integration

10 min

Master Model integration in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Pipeline parameters

10 min

Master Pipeline parameters in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Pipeline + cross-validation

10 min

Master Pipeline + cross-validation in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Preventing data leakage

10 min

Master Preventing data leakage in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Why one train/test split isn't enough

10 min Preview

Master Why one train/test split isn't enough in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Validation sets

10 min

Master Validation sets in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

K-fold cross-validation

10 min

Master K-fold cross-validation in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Stratified K-fold

10 min

Master Stratified K-fold in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Regression CV

10 min

Master Regression CV in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Classification CV

10 min

Master Classification CV in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Time-series validation

10 min

Master Time-series validation in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Cross-validation metrics

10 min

Master Cross-validation metrics in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Mean score

10 min

Master Mean score in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Score variance

10 min

Master Score variance in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Leakage during validation

10 min

Master Leakage during validation in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Baselines

10 min

Master Baselines in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Comparing models

10 min

Master Comparing models in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Parameters vs hyperparameters

10 min Preview

Master Parameters vs hyperparameters in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Grid search

10 min

Master Grid search in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Random search

10 min

Master Random search in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Search spaces

10 min

Master Search spaces in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Cross-validation during tuning

10 min

Master Cross-validation during tuning in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

GridSearchCV

10 min

Master GridSearchCV in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

RandomizedSearchCV

10 min

Master RandomizedSearchCV in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Scoring strategies

10 min

Master Scoring strategies in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Avoiding over-tuning

10 min

Master Avoiding over-tuning in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Final model selection

10 min

Master Final model selection in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Why feature engineering matters

10 min Preview

Master Why feature engineering matters in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Numerical transformations

10 min

Master Numerical transformations in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Log transformations

10 min

Master Log transformations in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Ratios

10 min

Master Ratios in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Aggregated features

10 min

Master Aggregated features in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Date features

10 min

Master Date features in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Interaction features

10 min

Master Interaction features in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Feature selection

10 min

Master Feature selection in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Permutation importance

10 min

Master Permutation importance in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Partial dependence intuition

10 min

Master Partial dependence intuition in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Feature importance limitations

10 min

Master Feature importance limitations in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Data exploration

10 min Preview

Master Data exploration in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Data cleaning

10 min

Master Data cleaning in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Feature engineering

10 min

Master Feature engineering in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Train/test split

10 min

Master Train/test split in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Preprocessing pipeline

10 min

Master Preprocessing pipeline in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Baseline model

10 min

Master Baseline model in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Multiple algorithms

10 min

Master Multiple algorithms in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Cross-validation

10 min

Master Cross-validation in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Hyperparameter tuning

10 min

Master Hyperparameter tuning in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Model evaluation

10 min

Master Model evaluation in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Feature interpretation

10 min

Master Feature interpretation in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Model selection

10 min

Master Model selection in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Save model

10 min

Master Save model in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

Generate predictions

10 min

Master Generate predictions in Machine Learning with Python. Gain hands-on practical skills, real-world examples, and step-by-step guidance.

What is deep learning?

10 min Preview

Learn What is deep learning? in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Why neural networks?

10 min

Learn Why neural networks? in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Neuron

10 min

Learn Neuron in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Weights

10 min

Learn Weights in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Bias

10 min

Learn Bias in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Activation functions

10 min

Learn Activation functions in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Layers

10 min

Learn Layers in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Forward propagation

10 min

Learn Forward propagation in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Loss function

10 min

Learn Loss function in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Backpropagation

10 min

Learn Backpropagation in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Gradient descent

10 min

Learn Gradient descent in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Epoch

10 min

Learn Epoch in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Batch

10 min

Learn Batch in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Learning rate

10 min

Learn Learning rate in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Overfitting

10 min

Learn Overfitting in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Neural-network architecture

10 min

Learn Neural-network architecture in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

TensorFlow ecosystem

10 min Preview

Learn TensorFlow ecosystem in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Keras

10 min

Learn Keras in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Tensors

10 min

Learn Tensors in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Shapes

10 min

Learn Shapes in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Tensor operations

10 min

Learn Tensor operations in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Datasets

10 min

Learn Datasets in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Sequential models

10 min

Learn Sequential models in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Layers

10 min

Learn Layers in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Dense layers

10 min

Learn Dense layers in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Activation functions

10 min

Learn Activation functions in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

compile()

10 min

Learn compile() in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

fit()

10 min

Learn fit() in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

evaluate()

10 min

Learn evaluate() in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

predict()

10 min

Learn predict() in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Model summary

10 min

Learn Model summary in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Callbacks

10 min

Learn Callbacks in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Saving models

10 min

Learn Saving models in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Training/validation split

10 min Preview

Learn Training/validation split in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Batch size

10 min

Learn Batch size in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Epochs

10 min

Learn Epochs in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Learning rate

10 min

Learn Learning rate in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Loss functions

10 min

Learn Loss functions in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Optimizers

10 min

Learn Optimizers in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Metrics

10 min

Learn Metrics in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Validation loss

10 min

Learn Validation loss in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Overfitting

10 min

Learn Overfitting in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Early stopping

10 min

Learn Early stopping in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Model checkpoints

10 min

Learn Model checkpoints in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Learning curves

10 min

Learn Learning curves in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

TensorBoard introduction

10 min

Learn TensorBoard introduction in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Why PyTorch?

10 min Preview

Learn Why PyTorch? in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Tensors

10 min

Learn Tensors in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Tensor shapes

10 min

Learn Tensor shapes in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Tensor operations

10 min

Learn Tensor operations in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

CPU vs accelerator

10 min

Learn CPU vs accelerator in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Dataset

10 min

Learn Dataset in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

DataLoader

10 min

Learn DataLoader in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Batch processing

10 min

Learn Batch processing in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Transforms

10 min

Learn Transforms in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

nn.Module

10 min

Learn nn.Module in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Layers

10 min

Learn Layers in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Forward pass

10 min

Learn Forward pass in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Loss function

10 min

Learn Loss function in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Optimizer

10 min

Learn Optimizer in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Computational graphs

10 min Preview

Learn Computational graphs in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Gradients

10 min

Learn Gradients in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Autograd

10 min

Learn Autograd in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

requires_grad

10 min

Learn requires_grad in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Backpropagation

10 min

Learn Backpropagation in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Loss

10 min

Learn Loss in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Optimizer

10 min

Learn Optimizer in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Training loop

10 min

Learn Training loop in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Validation loop

10 min

Learn Validation loop in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

train()

10 min

Learn train() in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

eval()

10 min

Learn eval() in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

no_grad()

10 min

Learn no_grad() in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Gradient accumulation

10 min

Learn Gradient accumulation in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Saving model weights

10 min

Learn Saving model weights in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Compare PyTorch TensorFlow Keras

10 min Preview

Learn Compare PyTorch TensorFlow Keras in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Model

10 min

Learn Model in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Dataset

10 min

Learn Dataset in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Training

10 min

Learn Training in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Gradients

10 min

Learn Gradients in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Overfitting

10 min Preview

Learn Overfitting in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Underfitting

10 min

Learn Underfitting in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Dropout

10 min

Learn Dropout in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

L1/L2 regularization

10 min

Learn L1/L2 regularization in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Batch normalization

10 min

Learn Batch normalization in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Learning-rate scheduling

10 min

Learn Learning-rate scheduling in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Adam

10 min

Learn Adam in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

SGD

10 min

Learn SGD in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Momentum

10 min

Learn Momentum in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Weight initialization

10 min

Learn Weight initialization in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Gradient problems

10 min

Learn Gradient problems in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Vanishing gradients

10 min

Learn Vanishing gradients in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Exploding gradients

10 min

Learn Exploding gradients in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Image representation

10 min Preview

Learn Image representation in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Channels

10 min

Learn Channels in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Convolution

10 min

Learn Convolution in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Kernel/filter

10 min

Learn Kernel/filter in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Feature maps

10 min

Learn Feature maps in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Stride

10 min

Learn Stride in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Padding

10 min

Learn Padding in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Pooling

10 min

Learn Pooling in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

CNN architecture

10 min

Learn CNN architecture in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Flattening

10 min

Learn Flattening in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Dense layers

10 min

Learn Dense layers in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Image augmentation

10 min

Learn Image augmentation in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Training CNN

10 min

Learn Training CNN in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Evaluation

10 min

Learn Evaluation in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Confusion matrix

10 min

Learn Confusion matrix in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Why transfer learning?

10 min Preview

Learn Why transfer learning? in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Pretrained networks

10 min

Learn Pretrained networks in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Feature extraction

10 min

Learn Feature extraction in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Freezing layers

10 min

Learn Freezing layers in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Fine-tuning

10 min

Learn Fine-tuning in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Transfer learning workflow

10 min

Learn Transfer learning workflow in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Data augmentation

10 min

Learn Data augmentation in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Model selection

10 min

Learn Model selection in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Fine-tuning strategy

10 min

Learn Fine-tuning strategy in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Evaluation

10 min

Learn Evaluation in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Text preprocessing

10 min Preview

Learn Text preprocessing in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Tokenization

10 min

Learn Tokenization in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Vocabulary

10 min

Learn Vocabulary in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Bag of Words

10 min

Learn Bag of Words in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

TF-IDF

10 min

Learn TF-IDF in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Text classification

10 min

Learn Text classification in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Scikit-learn text pipeline

10 min

Learn Scikit-learn text pipeline in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Embeddings concept

10 min

Learn Embeddings concept in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Sequence representation

10 min

Learn Sequence representation in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Basic neural text classifier

10 min

Learn Basic neural text classifier in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Training vs inference

10 min Preview

Learn Training vs inference in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Saving trained models

10 min

Learn Saving trained models in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Loading models

10 min

Learn Loading models in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Preprocessing consistency

10 min

Learn Preprocessing consistency in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Model artifacts

10 min

Learn Model artifacts in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Versioning

10 min

Learn Versioning in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Batch inference

10 min

Learn Batch inference in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Single prediction

10 min

Learn Single prediction in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Prediction API concept

10 min

Learn Prediction API concept in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Model serving

10 min Preview

Learn Model serving in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Batch vs real-time inference

10 min

Learn Batch vs real-time inference in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

FastAPI + ML

10 min

Learn FastAPI + ML in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Request schema

10 min

Learn Request schema in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Prediction endpoint

10 min

Learn Prediction endpoint in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Loading model at application startup

10 min

Learn Loading model at application startup in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Input validation

10 min

Learn Input validation in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Prediction response

10 min

Learn Prediction response in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Docker

10 min

Learn Docker in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Model artifacts

10 min

Learn Model artifacts in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Environment management

10 min

Learn Environment management in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Basic production considerations

10 min

Learn Basic production considerations in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Training pipeline

10 min Preview

Learn Training pipeline in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Inference pipeline

10 min

Learn Inference pipeline in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Experiment tracking concepts

10 min

Learn Experiment tracking concepts in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Model versioning

10 min

Learn Model versioning in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Dataset versioning

10 min

Learn Dataset versioning in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Reproducibility

10 min

Learn Reproducibility in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Random seeds

10 min

Learn Random seeds in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Model registry concepts

10 min

Learn Model registry concepts in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Data drift

10 min

Learn Data drift in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Model drift

10 min

Learn Model drift in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Monitoring

10 min

Learn Monitoring in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Retraining

10 min

Learn Retraining in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

CI/CD concepts for ML

10 min

Learn CI/CD concepts for ML in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Model rollback

10 min

Learn Model rollback in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

End-to-End AI/ML System

10 min Preview

Learn End-to-End AI/ML System in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

1. Financial Risk

10 min

Learn 1. Financial Risk in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

2. Customer Intelligence

10 min

Learn 2. Customer Intelligence in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

3. Computer Vision

10 min

Learn 3. Computer Vision in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

4. NLP

10 min

Learn 4. NLP in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

Project-Based Learning Structure Project 1 — House Price Prediction Project 2 — Customer Churn Prediction Project 3 — Image Classification Project 4 — Production ML API

10 min

Learn Project-Based Learning Structure Project 1 — House Price Prediction Project 2 — Customer Churn Prediction Project 3 — Image Classification Project 4 — Production ML API in Deep Learning with TensorFlow and PyTorch. Master core neural network concepts, optimization, and practical implementation.

In case you are thinking of beginning your IT career, Machine Learning is the best course program to start and our Machine Learning Algorithms Python in Sector 14 Old DLF Colony, Gurgaon is structured in such a way that you will be job ready on the first day after course completion.

Course Description

Prerequisites

Python

Statistics

Skills You'll Gain

Model Training Machine Learning Regression Analysis Logistic Regression Model Optimization Machine Learning Algorithms Predictive Modeling Data Preprocessing Artificial Intelligence Feature Engineering Supervised Learning Applied Machine Learning Algorithms Model Evaluation

Your Instructors

Manoj Yadav

Lead Instructor

Tech Consultant

15+ Years Experience in Python,Unix,Database ,AI, ML, And Backend Systems For Developing Solutions. Total Expereince in teaching 15

⭐ 4.1 (121 Reviews)

👨‍🎓 1200 Students

📚 12 Courses

Student Reviews

4.9 (5 Rating or 4.8)

Manish Kumar

★ ★ ★ ★ ★

"Hands-on labs made Scikit-learn workflows and TensorFlow model building easy to understand. The trainer explained concepts clearly, demonstrated practical pipelines, and encouraged experimentation. Excellent exposure to model training, evaluation, tuning, and deployment practices that strengthen job readiness."

Amit Sharma

★ ★ ★ ★ ★

"A useful learning experience covering preprocessing, feature engineering, supervised learning, neural networks, and evaluation. Teaching remained structured and industry-focused. Real exercises improved confidence in developing complete machine learning solutions rather than only studying theoretical algorithms."

Dipesh Pandey

★ ★ ★ ★ ★

"The course delivers practical machine learning knowledge through meaningful coding assignments and demonstrations. Trainer guidance was approachable and technically strong. Working with Scikit-learn and TensorFlow provided valuable exposure to tools commonly expected in modern data science and AI roles."

Fateh Singh

★ ★ ★ ★ ☆

"Training combined clear explanations with practical implementation. Projects helped connect algorithms with business-oriented machine learning scenarios. The institute created a supportive environment where questions were welcomed, while hands-on TensorFlow practice added considerable value for aspiring ML professionals."

Niharika Singh

★ ★ ★ ★ ★

"Well-organized sessions provide a strong pathway from fundamentals toward practical model development. Exercises, trainer feedback, and framework exposure make the learning relevant to professional work. Particularly valuable for learners seeking confidence with Scikit-learn pipelines and TensorFlow applications."

FAQ

🔹 Is this course available online or offline?

Yes, course is available in both modes.

🔹 Certificate of completion?

Yes, shareable digital certificate.

🔹 Can i make fee payments in parts ?

Yes, Few basis , we allow candidates to pay fee in parts.

🔹 Projects included?

5 major minor portfolio projects.

🔹 Can you provide guaranteed placement after the course ?

Yes, we provide you the assured placement. we have a dedicated team for placement assistance.

Career Outcomes

Career outcomes will be added soon.

₹500 *Off on one-time payment

✨ 5-day money-back guarantee

Includes free 2-day preview session

Personalized Learning Roadmap
AI-Powered Learning Assistant
Hands-on Projects
Job-Ready Skills
Verified Certificate
24/7 Q&A/ Project Support

Course Features

90 Hrs.+ Sessions

90+ Exercises

Resources Kit

Daily Quiz-Assignments

Earn a Verified Certificate

Shareable on LinkedIn & Resume

Industry Recognized Verified by BMLC

❤️ We Care & Build Your Confidence

1-on-1 Mentorship: Dedicated professional mentors guide you through every challenge.

Peer Learning Community: Join 1k+ learners in weekly code reviews.

Confidence Booster: Project-based learning with real-world simulations.

🎯 Latest Job Matches For You

Python Developer

TechCorp • Remote

New

AI Engineer

InnovateAI • Bangalore

Urgent

Backend Architect

ScaleUp • Hybrid

Top Match

💰 Salary Earned By Developers

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Upcoming Course Events

Live & Interactive-Offline

Oct

Coding session

Agentic AI Session

Praveen Y

01:00 PM - 01:00 PM

Build Agents Quickly

45 attending

*All events are recorded and available for enrolled students

Machine Learning