There are 5 repositories under nba-data topic.
An R package to quickly obtain clean and tidy men's basketball play by play data.
Historical RAPTOR and other NBA data.
Data Extraction (from https://stats.nba.com) and Processing Scripts to Produce the NBA Database on Kaggle (https://kaggle.com/wyattowalsh/basketball)
Learn to build a NBA Fantasy Projection Model in Python with Pandas
:basketball::wastebasket: RESTful API about the best league in the world!
I will predict the 2023 NBA Champion using Machine Learning
Compare 2 basketball players by reading/comparing NBA stats in an Excel sheet.
NBA games' prediction
Using decision tree and random forest models, predict the winner of an NBA regular season game
Machine learning models to predict NBA playoff teams based on regular season performance. Using Python: Sklearn, Joblib, NumPy, Pandas; HTML; CSS; Javascript.
A curated list of awesome NBA Data and resources.
NBA Shots visualization
web scrapes performed for Kaggle datasets.
NBA All-Time points table API . Find out more about your favorite players and their basketball achievements 🏀
A text-based user interface to communicate with NBA data
My progression from learning Numpy to implementing Support Vector Classification to predict someone's expected position in the NBA based on height and weight.
Some projects related to the application of Machine Learning for Sports Analytics
Analyzing NBA stats
feature selection in regression tasks (application on NBA data)
Machine Learning makes predicting NBA2K player ratings one of the easiest things in the world.
Unofficial Kotlin wrapper library for API-NBA
I am predicting the winners of each of the five major individual NBA awards using machine learning.
Using NextJs to create a NBA stats site.
Analyzed tweets about the NBA playoffs.
NBA Stats Scrapper
A Twitter Sentiment Analysis Using R
Predicting the score of a the home-team in an NBA game using Linear Regression