Created by Shubham Kumar
DISCLAIMER: This is for absolute beginners, no experience needed.
- 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
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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
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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
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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
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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
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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
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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
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An Introduction to Statistical Learning Essential
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Elements of Statistical Learning Stanford Extremely useful
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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
- Home for Data Science - Kaggle
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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
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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
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Simple Reinforcement Learning with Tensorflow series by Arthur Juliani
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Machine Learning for Humans by Vishal Maini
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Tensorflow Playground
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Machine Learning Playground
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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
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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)
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Machine Learning for Everyone Blog
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.” — Morpheus