A collection of awesome manuals, blogs, cheats, resources and more.
Created by Shubham Kumar
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DISCLAIMER: This is for absolute beginners, no experience needed.
Table of Contents
- Python
- Calculus
- Linear Algebra
- Algorithms in Python
- Probability & Stats
- Statistical Learning
- Machine Learning
- Deep Learning
- Medium Blog Posts
- Playgrounds
- Research Papers
- Interview Questions
- Top Rated Courses
- Blogs to Follow
PYTHON
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Python 3 tutorial by Programiz Here
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Introduction to Python 3 Sentdex
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Quantative Economics with Python Here
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Python Data science handbook Chapter 1-4
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Python for Data Analysis 2nd Edition
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Learning Python 5th edition, oreilly publication by Mark Lutz (LONG VERSION)
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Python by Scipy
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Python Ebooks on Google Drive
PANDAS
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Pandas & Data Analysis by mlcourse.ai (Video)
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Pandas by Pydata
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Effective Pandas GitHub
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Pandas Cheatsheets
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Pandas Data School Videos
ALGORITHMS IN PYTHON
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Python & Algorithms 2.0 by Marina Wahl Pdf
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Udacity Course
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Another good resource Here
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Visualising algorithms through animation Visit
PRACTICE PYTHON
CALCULUS
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Essence of Calculus 3Blue1Brown PlayList
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Khan Academy calculus-1 Here
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Khan Academy calculus-2 Here
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Khan Academy multivariable calculus Here
LINEAR ALGEBRA
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Manga Guide to Linear Algebre Google Drive
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3Blue1Brown PlayList
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Khan Academy Linear algebra
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UBC Maths by James B. Carrell Here
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MIT Linear algebra
PROBABILITY AND STATISTICS
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Khan Academy Course
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Think Stats Pdf
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Probability Cheat sheet
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Bayesian-Methods-for-Hackers Here
STATISTICAL LEARNING
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An Introduction to Statistical Learning Essential
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Elements of Statistical Learning Stanford Extremely useful
MACHINE LEARNING
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Machine Learning: An Algorithmic Perspective Here
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Practical Machine Learning Tutorial with Python Sentdex
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Stanford - AndrewNg Course YouTube
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Jason Mayes (Google Engineer ML Class 101) Slides
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Ebooks for ML on Google Drive
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More Ebooks on Google Drive
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Manning publication books on Google Drive
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Cheat Sheets for ML, DeepL, AI Google Drive
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Google Machine Learning crash course using Tensorflow (Not for Beginners) Here
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Reinforcement Learning Book by Andrew Barto and Richard S. Sutton Google Drive
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Stanford's CS 229 Machine Learning VIP Cheatsheet
PRACTICE ML
- Home for Data Science - Kaggle
DEEP LEARNING
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Grokking Deep Learning by Andrew Trask
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Practical Deep Learning for Coders Fast-ai
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MIT Deep Learning Lex-Fridman
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MIT 6.S191: Introduction to Deep Learning Alexander-Amini
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Demystifying RL Intel AI
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Deep RL Bootcamp Berkeley CA
AI PROJECTS
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Plant Disease Detector using Pytorch & fastai Visit
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Implement a Pong-playing agent Pong from Pixels
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Flappy-Bird Playing agent in JavaScript
AWESOME BLOG POSTS ON MEDIUM
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Simple Reinforcement Learning with Tensorflow series by Arthur Juliani
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Machine Learning for Humans by Vishal Maini
PLAYGROUNDS
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Tensorflow Playground
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Machine Learning Playground
RESEARCH PAPERS
INTERVIEW QUESTIONS
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100 Data Science Interview Questions and Answers
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40 Interview Questions asked at startups in Machine Learning Here
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Top 100 Data science interview Questions
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109 Data Science Interview Questions and Answers for 2019 on Springboard
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111 Data Science Interview Questions with Detailed Answers Here
TOP RATED COURSES
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Open Machine Learning Course mlcourse.ai
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CS294-158 Deep Unsupervised Learning Spring 2019
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UC Berkeley CS294-112 Deep Reinforcement Learning
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UCL Course on RL
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CS109 Data Science Course - Harvard
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Python for Data Science and Machine Learning Bootcamp - Udemy (Paid)
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Introduction to Data Science - Metis (Paid)
Blogs to Read
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Machine Learning for Everyone Blog
Contributors โจ
 Aishwarya |
 Sayan Ghosh |
 Komal Mann |
You take the blue pill, the story ends. You wake up in your bed and believe whatever you want to believe. You take the red pill, you stay in Wonderland, and I show you how deep the rabbit hole goes.โโโโMorpheus
