Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman

Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

My Own Solution Manual of PRML

PRML algorithms implemented in Python

All TCS XPLORE Python OPA, IPA, IRA and CPA answers in the most simple way you can imagine.

Text and supporting code for Think Stats, 2nd Edition

List of Data Science Cheatsheets to rule the world

Carefully curated resource links for data science in one place

Toturials coming with the "data science roadmap" picture.

📝 An awesome Data Science repository to learn and apply for real world problems.