Analysis of NBA player stats and salaries of the 2016-17 for the 17-18 season

西电2018届软院卓越班毕设项目

Script which summarises the NBA games on a given date.

🏀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

Nba Watson

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.

Basketball Reference Web Scraper

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…

Web Scraper for NBA injury data

Historical RAPTOR and other NBA data.

Some projects related to the application of Machine Learning for Sports Analytics