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nba-all-star-predictor's Introduction

title

NBA All Star Predictor

Project Description

  • A personal project to explore scraping and basic machine learning.
  • Big Question: Which players were all-stars?
  • Assumption: taking full season stats instead of stats up till all-star break.

App Deployment

Link to App: NBA All Star Predictor

  • Hosted on Streamlit Share

Data Source

  • NBA Player Season Totals taken off Basketball-Reference.com
  • Scraped Data Includes:
    • Player List from 1996 - Present
    • Individual season stats totals
    • Individual season per game stats

Sample Data

Player List sample players

Season Totals

totals

Per Game

per game

Modelling

Models Compared

LightGBM Classifier
Random Forest Classifier
XGBoost Classifier

Deployment

  • Deployed on Streamlit
  • Use sidebar to input player's stats
  • Predictions presented from all three classifiers

deployment

Coding Language & Main Libraries

  • Python Version 3.8.3
  • Pandas Version 1.2.2
  • Scikit-learn 0.23.2
  • Streamlit 0.78.0

nba-all-star-predictor's People

Contributors

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Watchers

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