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This project utilizes machine learning regression algorithms to predict the outcomes and standings of the current English Premier League (EPL) season. By analyzing historical data and leveraging various regression models, it offers insights into team performance and aims to provide a glimpse into how the EPL season may unfold.

SankalpMehani/premier-league-predictor

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English Premier League Season Predictor

EPL Logo

Overview

This project is an English Premier League (EPL) season predictor that utilizes various regression algorithms to forecast the outcomes of the current EPL season. By implementing machine learning models, this tool aims to provide insights into team performance and potential standings in the league.

  1. Clone the repository to your local machine:
git clone https://github.com/sankalp512/premier_league_predictor.git
  1. Navigate to the project directory:
cd premier_league_predictor
  1. Install the required dependencies:
pip install -r requirements.txt

Models Used

The following regression algorithms were used in this project:

KNeighborsRegressor

DecisionTreeRegressor

RandomForestRegressor

AdaBoostRegressor

GradientBoostingRegressor

XGBRegressor

CatBoostRegressor

Each of these models was trained and evaluated to provide predictions for the EPL season.

Data Sources

The data for this project was collected from the popular sports statistics source: FBRef

Please ensure compliance with data usage terms and conditions when collecting and using data from external sources.

About

This project utilizes machine learning regression algorithms to predict the outcomes and standings of the current English Premier League (EPL) season. By analyzing historical data and leveraging various regression models, it offers insights into team performance and aims to provide a glimpse into how the EPL season may unfold.

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