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https://github.com/stephenfeddes/nbaplayerstatisticsforecaster


https://github.com/stephenfeddes/nbaplayerstatisticsforecaster

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README

          

# NBA Player Statistics Forecaster

Forecasts NBA player statistics

## Table of Contents

- [Introduction](#introduction)
- [Features](#features)
- [Usage](#usage)
- [License](#license)
- [Contact](#contact)

## Introduction

This project developed a machine learning model that forecasts the statistics an NBA player will get in a given game.
A full explanation of the work is available in the technical report.

## Features

List the key features of your project.

- Machine Learning with scikit-learn
- Data Preproccessing with the Pandas and NumPy libraries
- Data collection from the NBA and Sleeper APIs
- Data visualization with the Matplotlib and Seaborn libraries

## Usage

To see the project, clone the repository and open the .ipynb files in a Jupyter Notebook.

## LICENSE

This project is licensed under the [MIT](https://opensource.org/license/mit) license.

## Contact

You can contact me at stephenpfeddes@gmail.com