This repository contains material relevant to the AI511 Machine Learning Course.
If you find any bugs or wish to suggest any resources, feel free to mail us or raise a PR
- Shridhar.Sharma@iiitb.ac.in
- Kedar.Deshpande@iiitb.ac.in
- Arya.Kondawar@iiitb.ac.in
- Anwit.Damale@iiitb.ac.in
- Polapragada.Yashwant@iiitb.ac.in
- Watch this video recording on preprocessing and EDA before attempting your assignment
- Link for past year TA material
- Link for practice questions
- Link for past year course slides for ML and MML
- Check out Statquest for statistical concepts
- Check out Mostafa's course
- Luis Serrano -
Introduction to ML algorithms - Learning From Data -
Caltech Course - Statquest -
Statistical concepts - Gilbert Strang -
Linear algebra - CS229 Stanford -
Lectures - Tubingen Machine Learning -
Mathematics for ML + VR - Krish Naik -
Hands-on videos - Visually Explained -
Convex optimisation - Jeff Heaton -
Deep learning in practice - Computerphile -
Introduction to Data analysis - Geeksforgeeks -
Blogs about ML - ISSAI -
Primer on Ensemble methods - GCloud -
Machine Learning on Google Cloud - Valerio Velardo -
Deep Learning and AI in Audio - Coding Lane -
Derivations and Mathematics - m2cgen -
Convert your models into native code - pandarallel -
Parallelise your pandas operations - Eddie Jaoude -
TensorflowJS - project walkthrough