AlphaPy is a machine learning framework for both speculators and data scientists. It is written in Python with the scikit-learn, pandas, and Keras libraries, as well as many other helpful libraries for feature engineering and visualization. Here are just some of the things you can do with AlphaPy:

• Run machine learning models using scikit-learn, xgboost, and Keras.
• Create models for analyzing the markets with MarketFlow.
• Predict sporting events with SportFlow.
• Develop trading systems and analyze portfolios using MarketFlow and Quantopian's pyfolio.

You should already have pip, Python, and XGBoost (see below) installed on your system. Run the following command to install AlphaPy:

pip install -U alphapy

For Mac and Windows users, XGBoost will not install automatically with pip. For instructions to install XGBoost on your specific platform, go to http://xgboost.readthedocs.io/en/latest/build.html.

http://alphapy.readthedocs.io/en/latest/

The official channel for support is to open an issue on Github.

http://github.com/ScottfreeLLC/AlphaPy/issues

Follow us on Twitter:

https://twitter.com/_AlphaPy_?lang=en

If you like the software, please donate:

http://alphapy.readthedocs.io/en/latest/introduction/support.html#donations