Skip to main content

Python sports betting toolbox.

Project description

CircleCI ReadTheDocs PythonVersion Pypi Conda

sports-betting

Introduction

The sports-betting package is a collection of tools that makes it easy to create machine learning models for sports betting and evaluate their performance. It is compatible with scikit-learn.

Installation

sports-betting is currently available on the PyPi’s repositories and you can install it via pip:

pip install -U sports-betting

The package is released also in Anaconda Cloud platform:

conda install -c gdouzas sports-betting

Documentation

Installation documentation, API documentation, and examples can be found on the documentation.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sports-betting-0.1.3.tar.gz (4.0 MB view hashes)

Uploaded Source

Built Distribution

sports_betting-0.1.3-py3-none-any.whl (24.9 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page