A modular and scalable repository of essential math for Data Science, Machine Learning, and AI.
Built for consistency, revision, and clarity β across courses and beyond.
- Linear Algebra β vectors, matrices, eigenvalues, SVD
- Calculus β limits, derivatives, gradients, integrals
- Probability & Statistics β distributions, Bayesβ theorem, inference
- Optimization β cost functions, gradient descent, convexity
- Discrete Math β logic, sets, graphs
- Numerical Methods β approximation, iteration, stability
Each topic folder includes:
README.mdβ Index of the reponotes.mdβ Key concepts & formulasexamples.ipynbβ Python demosexercises.mdβ Practice problems- Tagged by source (IITM BS or others) for traceability
- IITMBS Course: Course from IIT Madras in programming and data science degree.
- GFG Course: Coding and DSA practice course by GeeksforGeeks.
- Khan Academy: Online platform for learning mathematics.
- Ensure consistency across courses and future learning
- Enable quick revision before exams, interviews, or projects
- Link math fundamentals directly to ML applications
Open to ideas, tweaks, and improvements β fork, clone, or drop a PR!
Made with β€οΈ by Naveen Garg
