Python sports betting toolbox.
Project description
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
Release history Release notifications | RSS feed
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)
Built Distribution
Close
Hashes for sports_betting-0.1.3-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 6df29a2b49a59194ca54d2c4de7682452bdde9486b9e74fb0b4cc9fbc68f0cdb |
|
MD5 | 1cee41eef06892e88dce675b26126428 |
|
BLAKE2b-256 | 6cd8c819120c780ffed4e57a9074f171788ec2bb39fb84e454e962a38125d1b0 |