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46 public repositories
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An R package to quickly obtain clean and tidy men's basketball play by play data.
Historical RAPTOR and other NBA data.
Updated
Jun 7, 2024
Jupyter Notebook
Learn to build a NBA Fantasy Projection Model in Python with Pandas
Updated
Aug 23, 2022
Jupyter Notebook
I will predict the 2023 NBA Champion using Machine Learning
Updated
Apr 16, 2023
Jupyter Notebook
🏀🗑️ RESTful API about the best league in the world!
Updated
May 1, 2022
JavaScript
Updated
Feb 7, 2023
Python
Using decision tree and random forest models, predict the winner of an NBA regular season game
Updated
Jun 7, 2018
Jupyter Notebook
Compare 2 basketball players by reading/comparing NBA stats in an Excel sheet.
Updated
Aug 19, 2018
Python
Analysis of NBA player stats and salaries of the 2016-17 for the 17-18 season
Updated
Aug 10, 2017
Python
A curated list of awesome NBA Data and resources.
Machine learning models to predict NBA playoff teams based on regular season performance. Using Python: Sklearn, Joblib, NumPy, Pandas; HTML; CSS; Javascript.
Updated
May 9, 2020
Jupyter Notebook
Updated
Apr 16, 2023
JavaScript
Updated
Apr 15, 2024
Jupyter Notebook
web scrapes performed for Kaggle datasets.
Updated
Apr 20, 2023
Jupyter Notebook
Updated
Jul 3, 2018
JavaScript
🏀NBA Live data api based on TencentSport , ESPN
Updated
Aug 13, 2019
HTML
NBA All-Time points table API . Find out more about your favorite players and their basketball achievements 🏀
Updated
Feb 8, 2023
Jupyter Notebook
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