saccofrancesco/deepshot

DeepShot is a machine learning model designed to predict NBA game outcomes using advanced team statistics and rolling averages. It combines historical performance trends with contextual game data to deliver highly accurate win predictions (71%)

Language: Jupyter Notebook - Size: 74.9 MB - Last synced at: about 10 hours ago - Pushed at: about 11 hours ago - Stars: 41 - Forks: 6

ethanfuerst/nba-dashboard

NBA Dashboard using Dash and Plotly

Language: Python - Size: 3.45 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

sportsdataverse/hoopR

An R package to quickly obtain clean and tidy men's basketball play by play data.

Language: R - Size: 39.5 MB - Last synced at: 11 days ago - Pushed at: about 1 year ago - Stars: 94 - Forks: 20

sumitrodatta/nba-alt-awards

Language: Jupyter Notebook - Size: 495 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 5 - Forks: 0

joeyism/nnnba

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

Language: Python - Size: 51.4 MB - Last synced at: 3 days ago - Pushed at: almost 8 years ago - Stars: 10 - Forks: 3

JovaniPink/awesome-nba-data

A curated list of awesome NBA Data and resources.

Size: 9.77 KB - Last synced at: 3 days ago - Pushed at: over 4 years ago - Stars: 10 - Forks: 1

fivethirtyeight/nba-player-advanced-metrics

Historical RAPTOR and other NBA data.

Size: 15.3 MB - Last synced at: 2 days ago - Pushed at: over 4 years ago - Stars: 48 - Forks: 27

mille5a9/api-sports-kotlin

Unofficial Kotlin wrapper library for API-NBA

Language: Kotlin - Size: 146 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Kai-Ref/Feature-Selection-in-Regression-Tasks

feature selection in regression tasks (application on NBA data)

Language: Jupyter Notebook - Size: 2.75 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

wyattowalsh/nbadb

Data Extraction (from https://stats.nba.com) and Processing Scripts to Produce the NBA Database on Kaggle (https://kaggle.com/wyattowalsh/basketball)

Language: Jupyter Notebook - Size: 2.18 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 38 - Forks: 7

JK-Future-GitHub/NBA_Champion

I will predict the 2023 NBA Champion using Machine Learning

Language: Jupyter Notebook - Size: 4.17 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 14 - Forks: 2

gboogy/nba-injury-data-scraper

Web Scraper for NBA injury data

Language: Python - Size: 320 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

elizabethsiegle/nba-stats-twilio-sms-bot

Compare 2 basketball players by reading/comparing NBA stats in an Excel sheet.

Language: Python - Size: 6.35 MB - Last synced at: about 2 months ago - Pushed at: almost 7 years ago - Stars: 11 - Forks: 3

ccagrawal/nbaTools

Scraper for NBA data

Language: R - Size: 71.3 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 12 - Forks: 7

JulianHorvath/NBA

Analyzing NBA stats

Language: Jupyter Notebook - Size: 5.24 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

hanesy/NBA_Playoffs

Machine learning models to predict NBA playoff teams based on regular season performance. Using Python: Sklearn, Joblib, NumPy, Pandas; HTML; CSS; Javascript.

Language: Jupyter Notebook - Size: 3.59 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 2

TugbaGokalp/nba-legends

Language: JavaScript - Size: 23.8 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

logan-lauton/nba_webscrape

web scrapes performed for Kaggle datasets.

Language: Jupyter Notebook - Size: 86.9 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

AnabeatrizMacedo241/NBA_AllTimePTS_API

NBA All-Time points table API . Find out more about your favorite players and their basketball achievements 🏀

Language: Jupyter Notebook - Size: 130 KB - Last synced at: 25 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

Franpanozzo/nba-api-rest

:basketball::wastebasket: RESTful API about the best league in the world!

Language: JavaScript - Size: 302 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 15 - Forks: 0

ixarchakos/nba-games

NBA games' prediction

Language: Python - Size: 3.68 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 11 - Forks: 2

mattdmv/NBA-2K-player-rating-predictor

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

Language: Jupyter Notebook - Size: 1.75 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Jman4190/nba-stats-model

Learn to build a NBA Fantasy Projection Model in Python with Pandas

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 19 - Forks: 14

DeStRoYeR-droid/NBA-Data-Scraper

A text-based user interface to communicate with NBA data

Language: Python - Size: 5.86 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

ihnguyen/sentimentanalysis_lakers

A Twitter Sentiment Analysis Using R

Size: 517 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

shortdoormedia/bulls-tickets

Bulls Season Tickets Cost Tracker

Language: TypeScript - Size: 209 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

Drewsky33/NBA-Playoff-Tweet-Analysis

Analyzed tweets about the NBA playoffs.

Language: Jupyter Notebook - Size: 3.45 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

Endy02/fu_scrapper

NBA Stats Scrapper

Language: Python - Size: 28.3 KB - Last synced at: 9 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Victorb999/nba-stats

Using NextJs to create a NBA stats site.

Language: TypeScript - Size: 2.24 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

peasant98/NBA-SVC-Machine-Learning

My progression from learning Numpy to implementing Support Vector Classification to predict someone's expected position in the NBA based on height and weight.

Language: Jupyter Notebook - Size: 197 KB - Last synced at: over 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

AForbis/Bootcamp_Final_Project

All-NBA Team Machine Learning Model

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tomerzur/NBA-Award-Prediction

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

Language: Jupyter Notebook - Size: 10.6 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

jai-agrawal/nba-score-predictor

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

Language: Python - Size: 20.5 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

GiulianoCornacchia/basket-viz

NBA Shots visualization

Language: JavaScript - Size: 5.07 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 0

siawayforward/ten-years-of-nba-data

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 certain decisions about missing data were made.

Language: Jupyter Notebook - Size: 2.95 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

mtanvirulislam/nba-web-scraper

Basketball Reference Web Scraper

Language: Python - Size: 55.7 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

moloscripts/nba_r

Prediciting players score using key inputs

Language: R - Size: 3.91 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 2

tramyardg/nbastatspro

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.

Language: JavaScript - Size: 421 KB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

meissadia/hoopscrape

HoopScrape: Ruby API for NBA data

Language: HTML - Size: 97.7 KB - Last synced at: 7 days ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

marcuscaisey/NBA-Scores-Summary

Script which summarises the NBA games on a given date.

Language: Python - Size: 3.91 KB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0