Machine Learning library for educational purpose.
Project description
<p align="center">
<img width="200px" src="happyml-logo.png" alt="HappyML logo">
</p>
HappyML (Machine Learning Python Library)
===========================================
[![Build Status](https://travis-ci.org/guiferviz/happyml-py.svg?branch=dev)](https://travis-ci.org/guiferviz/happyml-py)
[![Coverage Status](https://coveralls.io/repos/github/guiferviz/happyml-py/badge.svg?branch=dev)](https://coveralls.io/github/guiferviz/happyml-py?branch=dev)
[![Code Health](https://landscape.io/github/guiferviz/happyml-py/dev/landscape.svg?style=flat)](https://landscape.io/github/guiferviz/happyml-py/dev)
[![Documentation Status](https://readthedocs.org/projects/happyml/badge/?version=dev)](http://happyml.readthedocs.io/en/dev/?badge=dev)
[![PyPI version](https://badge.fury.io/py/happyml.svg)](https://badge.fury.io/py/happyml)
[![License](https://img.shields.io/badge/license-GPL-blue.svg)](./LICENSE)
Machine Learning Python library for academic purposes. *HappyML* is a little project supposed to be used by beginners in the Machine Learning field. It has simple implementations of the more common algorithms. *HappyML* only depends on *numpy* and *matplotlib*. The high level of those libraries makes easy to write and read the code.
Installation
------------
You can install `happyml` easily using `pip`::
pip install happyml
If you prefer you can clone the repository and install the library via `setup.py`::
git clone https://github.com/guiferviz/happyml-py.git happyml
cd happyml
sudo python setup.py install
Getting started
---------------
Check your installation with:
```python
import happyml
happyml.greet()
```
If everything is OK you will see the output:
> Those about to learn we salute you :)
Documentation
-------------
Dev documentation: [http://happyml.readthedocs.io/en/dev/](http://happyml.readthedocs.io/en/dev/)
Contact
-------
Mail me ([guiferviz](mailto:guiferviz@gmail.com)) or create an issue.
<br />
<br />
<br />
**Remember to be HAPPY :smile: :blush: :relaxed:**
<img width="200px" src="happyml-logo.png" alt="HappyML logo">
</p>
HappyML (Machine Learning Python Library)
===========================================
[![Build Status](https://travis-ci.org/guiferviz/happyml-py.svg?branch=dev)](https://travis-ci.org/guiferviz/happyml-py)
[![Coverage Status](https://coveralls.io/repos/github/guiferviz/happyml-py/badge.svg?branch=dev)](https://coveralls.io/github/guiferviz/happyml-py?branch=dev)
[![Code Health](https://landscape.io/github/guiferviz/happyml-py/dev/landscape.svg?style=flat)](https://landscape.io/github/guiferviz/happyml-py/dev)
[![Documentation Status](https://readthedocs.org/projects/happyml/badge/?version=dev)](http://happyml.readthedocs.io/en/dev/?badge=dev)
[![PyPI version](https://badge.fury.io/py/happyml.svg)](https://badge.fury.io/py/happyml)
[![License](https://img.shields.io/badge/license-GPL-blue.svg)](./LICENSE)
Machine Learning Python library for academic purposes. *HappyML* is a little project supposed to be used by beginners in the Machine Learning field. It has simple implementations of the more common algorithms. *HappyML* only depends on *numpy* and *matplotlib*. The high level of those libraries makes easy to write and read the code.
Installation
------------
You can install `happyml` easily using `pip`::
pip install happyml
If you prefer you can clone the repository and install the library via `setup.py`::
git clone https://github.com/guiferviz/happyml-py.git happyml
cd happyml
sudo python setup.py install
Getting started
---------------
Check your installation with:
```python
import happyml
happyml.greet()
```
If everything is OK you will see the output:
> Those about to learn we salute you :)
Documentation
-------------
Dev documentation: [http://happyml.readthedocs.io/en/dev/](http://happyml.readthedocs.io/en/dev/)
Contact
-------
Mail me ([guiferviz](mailto:guiferviz@gmail.com)) or create an issue.
<br />
<br />
<br />
**Remember to be HAPPY :smile: :blush: :relaxed:**
Project details
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