This project aims at teaching you the fundamentals of Machine Learning in python.
Simply open the Jupyter notebooks you are interested in:
- using Binder:
- this let's you experiment with the code examples
- or directly within github (start at index.ipynb)
- or by cloning this repository and running Jupyter locally.
- if you prefer this option, follow the installation instructions below.
Obviously, you will need git and python (2 or 3).
First, clone this repository:
$ cd {your development directory}
$ git clone https://github.com/ageron/ml-notebooks.git
$ cd ml-notebooks
If you want an isolated environment, you can use virtualenv:
$ virtualenv env
$ source ./env/bin/activate
There are different packages for TensorFlow, depending on your platform. Please edit requirements.txt
using your favorite editor, and make sure only the right one for your platform is uncommented. Default is Python 2, Ubuntu/Linux 64-bits, CPU-only.
Then install the required python packages using pip:
$ pip install -r requirements.txt
Finally, launch Jupyter:
$ jupyter notebook
This should start the Jupyter server locally, and open your browser. Click on index.ipynb
to get started.