nba-players
Here are 17 public repositories matching this topic...
Clustering NBA Players Based on Offensive Advanced Stats
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Jun 9, 2020 - Jupyter Notebook
NbaStatsPro is an app that tracks an individual's favorite NBA player statistics. The app uses NBA's statistic API. Statistics such as points per game, assist per game, rebounds per game are displayed.
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Aug 31, 2018 - JavaScript
Unsupervised Clustering Algorithm for clustering NBA player types beyond the traditional 5 positions utilized in the NBA: 1) Point Guard 2) Shooting Guard 3) Small Forward 4) Power Forward 5) Center.
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Aug 30, 2021 - Jupyter Notebook
An RESTful API that allows users to obtain statistics for an individual NBA player against a specific team in the NBA. This type of data is particularly useful for daily fantasy games
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Dec 17, 2018 - JavaScript
Predict the best lineup combination for each NBA team based on player clusters and and historical 5-man lineup performance.
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Jul 13, 2020 - R
NBA Player Traditional Statistics (from 1996-97 to 2022-23)
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Jul 16, 2023 - Jupyter Notebook
This repository is a system to grade NBA players based on stats that correlate to winning games, obtained from machine learning.
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Aug 6, 2023 - Python
NBA database in C#
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Oct 29, 2023 - HTML
A wrapper site for NNNBA
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Aug 11, 2017 - JavaScript
An implementation of six degrees of separation for mutual NBA teammates.
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Aug 18, 2022 - JavaScript
A Front-End project to show the hot shooting points of NBA players to help analysis.
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Oct 10, 2019 - JavaScript
Compare 2 basketball players by reading/comparing NBA stats in an Excel sheet.
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Aug 19, 2018 - Python
Analysis of NBA player stats and salaries of the 2016-17 for the 17-18 season
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Aug 10, 2017 - Python
Hover on an NBA player's name on any web page to quickly view their career stats. Thousands of active users across Chrome, Firefox, Opera, and Edge.
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Sep 17, 2023 - JavaScript
visualization course project
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Nov 8, 2017 - JavaScript
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