39 lines
1.4 KiB
Markdown
39 lines
1.4 KiB
Markdown
Machine Learning Notebooks
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==========================
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This project aims at teaching you the fundamentals of Machine Learning in
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python.
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Simply open the [Jupyter](http://jupyter.org/) notebooks you are interested in:
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* using [Binder](http://mybinder.org/): [](http://mybinder.org/repo/ageron/ml-notebooks)
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* this let's you experiment with the code examples
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* or directly within github (start at [index.ipynb](https://github.com/ageron/ml-notebooks/blob/master/index.ipynb))
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* or by cloning this repository and running Jupyter locally.
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* if you prefer this option, follow the installation instructions below.
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# Installation
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Obviously, you will need [git](https://git-scm.com/) and [python](https://www.python.org/downloads/) (2 or 3).
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First, clone this repository:
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$ cd {your development directory}
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$ git clone https://github.com/ageron/ml-notebooks.git
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$ cd ml-notebooks
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If you want an isolated environment, you can use [virtualenv](https://virtualenv.readthedocs.org/en/latest/):
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$ virtualenv env
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$ source ./env/bin/activate
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Next, edit `requirements.txt` to uncomment the right version of TensorFlow for your platform, then install the required python packages using pip:
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$ pip install -r requirements.txt
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Finally, launch Jupyter:
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$ jupyter notebook
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This should start the Jupyter server locally, and open your browser. Click on `index.ipynb` to get started.
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