/ds_project

Primary LanguageJupyter Notebook

Table of Contents

  1. Installation
  2. Project Motivation
  3. File Descriptions
  4. Results
  5. Licensing, Authors, and Acknowledgements

Installation

The code is based on the nba_api package which is is an API Client for www.nba.com. This package intends to make the APIs of NBA.com easily accessible. nba_api requires Python 3.7+ and other required packages should be installed using:

pip install -r requirements.txt

Project Motivation

For this project I was interesting in using NBA.com data to try and predict game results. The idea is to collect the performance of each team in all its previous matches and use it as predictors for the current fame results.

File Descriptions

There is 1 notebook that demonstrate the results of the proposed model for predicting NBA game results.

Results

The main findings of the code can be found at the post available here.

Licensing, Authors, Acknowledgements

The credit must be give to the creators of the nba_api package which is Open Source with an MIT License. NBA.com has a Terms of Use regarding the use of the NBA’s digital platforms. Otherwise, feel free to use the code here as you would like!