Python March Madness Bracket Generator
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Updated
Apr 25, 2017 - Python
Python March Madness Bracket Generator
Basketball match winner prediction artificial intelligence
Find the best player combinations from game XML files
This python project extracts data from https://api.sportsdata.io and creates a report with the data of a specific basketball team. In this report, it can also be found a forecast of their next match (either they win, tie or lose).
Estimates distance traveled by a basketball player based on video footage
🏀 Tool for scraping NBA data
Prediction of players being selected to All-NBA 1st 2nd 3rd Teams and All-NBA Rookie 1st, 2nd Teams. For season 2023/24 predicted correctly 21 out of 25 players. - project for course "Selected topics of machine learning" during 1 semester of masters
Using the nba_api to delve into interesting statistics!
Give lower 25% NBA players same minutes as top 25%, and analyze statistics
Set of scripts for estimating NBA team net ratings adjusted for SOS and victory margin, and graphing season playoff odds.
Analysis of NBA Player Statistics
simply because someone collected all of Kobe's shots
Obtaining data from a sports API to generate a pdf report with NBA team Boston Celtic's advanced stats as charts and tables. Additionally, predicting the results for the following Celtic's match based on betting house odds using webscraping
Plotly Dash app that animates Bayesian updates of beta distributions with binomial data
Demo console-based basketball team statistics app that divides a group of players into teams and presents statistics about each team.
Shotcharts WebApp for 2021-2022 Nba Season
🏀⛹️♂️ Collect statistics of your favorite NBA teams!
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