Hands-on Machine Learning

Chapter	Name	Description
1	ML Landscape	Some technical Jargon. (Not making it prolly)
2	End to End ML Project	How to work out a project from beginning to end. Most kinds of operations you'd expect to do.
3	Classification	Running classification models. MNIST dataset.
4	Training Models	Under the hood. Regression and stuff