1. Statistical LearningLecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
3. Neural NetsProgramming Assignments and Lectures for Geoffrey Hinton's "Neural Networks for Machine Learning" Coursera course
5. MetarecPyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)
6. Data MiningLecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course
8. Computer VisionProgramming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
11. Movielens4 different recommendation engines for the MovieLens dataset.
12. machine-learningProgramming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course
13. deep-learningAssignmends done for Udacity's Deep Learning MOOC with Vincent Vanhoucke
14. world-cup-2018An exploratory data analysis and data visualization project for World Cup 2018
15. computer-networkingLecture Slides for Philip Levis and Nick McKeown's "Introduction to Computer Networking" Stanford course