Project to use machine learning techniques on Premier League Fantasy Football data and predict player scores each gameweek.
A competition in which participants select imaginary teams from among the players in a league and score points according to the actual performance of their chosen players
Data is scraped from the Premier League Fantasy Football website https://fantasy.premierleague.com
- FPL_data.py: Utility functions for scraping the data, and loading into pandas DataFrames
- FPL_ml.py Functions to prepare the data for use by machine learning algorithms
- Data Exploration.ipynb Notebook used to understand the variables and their distributions
- Gameweek prediction.ipynb Notebook for experimenting with different models