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

Prediciting players score using key inputs

Analyzing NBA stats

Nba Watson

A Twitter Sentiment Analysis Using R

NBA Stats Scrapper

Unofficial Kotlin wrapper library for API-NBA

Using NextJs to create a NBA stats site.

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…

西电2018届软院卓越班毕设项目

Predicting the score of a the home-team in an NBA game using Linear Regression

feature selection in regression tasks (application on NBA data)

Basketball Reference Web Scraper

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.

I am predicting the winners of each of the five major individual NBA awards using machine learning.

Script which summarises the NBA games on a given date.

NBA Dashboard using Dash and Plotly

Machine Learning makes predicting NBA2K player ratings one of the easiest things in the world.

Analyzed tweets about the NBA playoffs.