AYUSHNSUT

coding-blocks-machine-learning

stanford-cs229

These are my solutions to the problem sets for Stanford's Machine Learning class - cs229

stanford-CS229

Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng

PRML-Solution-Manual

My Own Solution Manual of PRML

ML-Murphy

Complete solutions for exercises and MATLAB example codes for "Machine Learning: A Probabilistic Perspective" 1/e by K. Murphy

cs229-2018-autumn

All notes and materials for the CS229: Machine Learning course by Stanford University

all-of-statistics

Self-study on Larry Wasserman's "All of Statistics"

awesome

😎 Awesome lists about all kinds of interesting topics