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README.md

Machine Learning Notebooks

This project aims at teaching you the fundamentals of Machine Learning in python. It contains the example code and solutions to the exercises in the second edition of my O'Reilly book Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow:

Note: If you are looking for the first edition notebooks, check out ageron/handson-ml.

Quick Start

Want to play with these notebooks without having to install anything?

  • Open this repository in Binder:

  • Or open it in Deepnote:

  • Or open it in Colaboratory:

    • Note: Colab only copies the notebooks you open, it does not clone the rest of the project, so you need to run !git clone https://github.com/ageron/handson-ml2 and %cd handson-ml2 to have access to other files in this project (such as datasets and images).

Just want to quickly look at some notebooks, without executing any code?

Browse this repository using jupyter.org's notebook viewer:

Note: github.com's notebook viewer also works but it is slower and the math equations are not always displayed correctly.

Want to install this project on your own machine?

If you have a working Python 3.5+ environment and git is installed, then an easy way to install this project and its dependencies is using pip. Open a terminal and run the following commands (do not type the $ signs, they just indicate that this is a terminal command):

$ git clone https://github.com/ageron/handson-ml2.git
$ cd handson-ml2
$ python3 -m pip install --user --upgrade pip setuptools
$ # Read `requirements.txt` if you want to use a GPU.
$ python3 -m pip install --user --upgrade -r requirements.txt
$ jupyter notebook

If you need more detailed installation instructions, or you want to use Anaconda, read the detailed installation instructions.

Contributors

I would like to thank everyone who contributed to this project, either by providing useful feedback, filing issues or submitting Pull Requests. Special thanks go to Haesun Park who helped on some of the exercise solutions, and to Steven Bunkley and Ziembla who created the docker directory.