/greyhound-modelling

Betfair Greyhound Modelling

Primary LanguageJupyter Notebook

Betfair Greyhound Modelling

Project Setup

This project assume you have a developmemnt environment with Python and pip installed

Clone project

git clone git@github.com:betfair-down-under/autoHubTutorials.git

Install python libraries

cd greyhound-modelling
pip install --user -r requirements.txt

Create a configuration file named .env in the rot folder and set required values:

FAST_TRACK_API_KEY=<your key>

Launch notebook

jupyter notebook

Notebooks

Below is the list of notebooks with detailed examples

Classification Models

greyhound_racing_modelling provides a step-by-step tutorial from fetching Greyhound racing data from FastTrack API to generating win probabilities using Scikit-learn and various Classification techniques.

Models Ensemble

TODO

Model Backtesting

TODO