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Using python to predict NBA all-stars based on projected statistics

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A simple webpage to show when Ja Morant's suspension is over

My Thoughts, My Learning

Web application for plotting events on a sport's playing area with a single click, while keeping track of any other details. Supports download and upload of .csv files.

An NBA Fantasy Draft data science project using python. Steps include scraping data from 2020-2023, cleaning data, use Linear Regression to predict top players with highest fantasy points based on points scored, rebounds, assists, steals, blocked shots and turnovers.

Publish NBA analytical projects

NBA database in C#

schools that produced a single NBA player

The NBA data and Machine Learning

ST Blog ->

A collection of soundboards for Cleveland Cavalier commentators.

This repo explores correlations between NBA player salary and on-court performance data, using stats between 2000 to 2022 regular season. It also illustrates how you can conduct web-scraping and simple data analysis in Python.

Extensible, Multi-functional back-end server for web applications based on Flask.

This repo contains machine learning applications that use time-series forecasts to predict the probability of certain players winning the MVP award in the National Basketball Association

NBA 2k and Stats Exploratory Data Analysis and Modeling. View project here: https://htmlpreview.github.io/?https://github.com/willyiamyu/nba2k_analysis/blob/master/nba.html