This repository contains notes, gists and code samples based on our learnings from the book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition
Our idea with this repository is to centralize our learning and make it an easy reference for many trying to solidify their basics in machine learning. We hope that it eases the learning curve and helps focus on the why's of applied ML.
The book is an amazing resource in an of itself. Please use the book for reference. For code examples followed in the book, you can setup the repository by following instructions here.
If you'd like to contribute, you can create a PR. Follow the steps in our contributing doc here written by @vrindaprabhu.
We'll shortly update a document on the format for uploading notes to anyone interested. Till then you can follow the format of the current notes in the repo.
