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NBA Prediction

Project Description

Created growable nba dataset based off nba.com team data (traditional, advanced, four-factors, scoring, and miscellaneous).
Detailed data categories can be found here
Use both home and away team stats and respective scores in the past to train the model. The prediction is done using team data from the last 3 games.
Currently implementing user friendly web page adaptation as well as customable prediction data selection feature.
Need to manually update season information in src/backend/scripts/constants.py.

Execution

Requires Python3.6+ with additional standard packages and the correct chromedriver. To run prediction, run following terminal command:

bash build.sh
Sample Output:

alt text

About

Creates an NBA dataset using public team data from nba.com and develop a neural network to predict outcomes of NBA games

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