Notes focus on the application and implementation of machine learning algorithms.
0_framworks: Framework tutorial from sklearn, keras, tensorflow to pytorch.1_industrial tricks: Useful code snippets for practical ML research.2_tools: Side tools for practical application of ML research.3_implementations: Implementation of some specific topics.
If you just want to apply ML in code, there is a way better repo: https://github.com/ageron/handson-ml2