All my practice assignments and challenges AI, ML and Data Science reside here.
- Test 2020 & their [Solutions]
- Test 2019 & their [Solutions]
- Test 2018 & their [Solutions]
- Test 2017 & their [Solutions]
- Test 2016 & their [Solutions]
- Test 2015 & their [Solutions]
- Test 2014 & their [Solutions]
- Test 2013 & their [Solutions]
- Python for Everybody Specialization
- Machine Learning
- Deep Learning Specialization
- Mathematics for Machine Learning Specialization
- Gilbert Strang (Lectures) [Linear Algebra]
- Abhishek Thakur(Kaggle Profile)
- Machine Learning Interview Preparation (Ebooks & Lecture Notes)(github)
- An Introduction to Statistical Learning with Applications in R (eBook)
— [Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani] - Standard Normal Cumulative Probability Table