A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in Twitter.

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

madewithml

Learn how to responsibly deliver value with ML.

mathematicalengineeringdeeplearning

Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org

mathtoolsforneuroscience

Materials for Mathematical Tools for Neuroscience course at Harvard (Neurobio 212)

ml-course-notes

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI

ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.