This is the compilation of cheat sheets and study materials for Data Science. The materials are trigged more towards folks who are looking for interview preparation and review materials. Not too overwhelming, but not too less either. I would also like to thank all the people who put forward their time and effort to make these materials a reality.

Probability

Stats (Harvard Stat 100)

Machine Learning (Stanford CS229)

100 Page Machine Learning Book (Andriy Burkov) - Buy ML Book

Machine Learning Equations Manual

Deep Learning Notes (from Andrew NG's Coursera class)

Deep Learning Cheat Sheet (Stanford CS230)

1. Advice for Applying Machine Learning (Stanford CS229)
2. Rules of Machine Learning (Google)

1. Grokking the system design - URL Shortener, Instagram, Load Balancing & Cache in free preview mode.
2. Interview Bit - System Design - Cache, Sharding, Highly Available, Highly Consistent, URL Shortener, Search, Messenger, Twitter.

1. LeetCode
2. Cracking the coding interview
3. Hackerrank
4. Interview Bit - Programming

1. Analytics Vidya Comprehensive Interview Guide
2. Acing AI - Company focus