Free Machine Learning Course in India 2026 — From Theory to Code

Machine learning is no longer a specialisation — it is becoming a baseline expectation for software roles at product companies, data-first startups, and research organisations. India's ML job market grew by over 40% in 2024-25, and the trend is accelerating. The good news: you can go from zero to building working ML models using entirely free resources on Siksha Sarovar.

Prerequisites — what you need first

• Python — minimum comfort with functions, lists, and libraries. The Python course on Siksha Sarovar takes 2-3 weeks for a beginner.
• Basic maths — linear algebra (vectors, matrices), probability, and calculus intuition. Our Probability & Statistics course covers the statistical foundations.

What the ML course covers

• Supervised learning: linear regression, logistic regression, decision trees, random forests, SVM, k-NN.
• Unsupervised learning: k-means clustering, hierarchical clustering, PCA for dimensionality reduction.
• Model evaluation: train/test split, cross-validation, confusion matrix, precision/recall, ROC-AUC.
• Neural network basics: perceptron, forward/back-propagation, activation functions, intro to deep learning.
• Practical projects: house price prediction, customer churn classification, image classifier with scikit-learn and TensorFlow basics.

Tools and libraries you will use

scikit-learn, NumPy, Pandas, Matplotlib, Seaborn, and TensorFlow/Keras basics — all runnable in the online compiler without local installation.

Complete learning stack on Siksha Sarovar

The full pathway: Python → Data Science → Machine Learning → Artificial Intelligence. Each stage builds on the previous.

Open the free Machine Learning course and build your first predictive model this week.