Analysis of NBA player stats and salaries of the 2016-17 for the 17-18 season
🏀NBA Live data api based on TencentSport , ESPN
Using decision tree and random forest models, predict the winner of an NBA regular season game
NBA Shots visualization
HoopScrape: Ruby API for NBA data
Compare 2 basketball players by reading/comparing NBA stats in an Excel sheet.
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.
Prediciting players score using key inputs
My progression from learning Numpy to implementing Support Vector Classification to predict someone's expected position in the NBA based on height and weight.
Scraper for NBA data
Machine learning models to predict NBA playoff teams based on regular season performance. Using Python: Sklearn, Joblib, NumPy, Pandas; HTML; CSS; Javascript.
Using ten NBA seasons of NBA data from 2010-2019 to practice web scrapping, data cleaning, and wrangling. The scrapped information includes teams, coaches, champions, and players. Some of this data is going to be used for a finals winner prediction project. This repository will therefore highlight how to clean data and make notes about why certa…
Historical RAPTOR and other NBA data.
Some projects related to the application of Machine Learning for Sports Analytics
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