Topic: nba-analytics Goto Github
Some thing interesting about nba-analytics
Some thing interesting about nba-analytics
nba-analytics,Interactive exploration of NBA roster turnover
User: arvkevi
Home Page: https://nba-roster-turnover.herokuapp.com/
nba-analytics,Predicting the outcome of shots based on the events and tracking data available for the 2015/16 season.
User: aviskarkc10
nba-analytics,Scraper for NBA data
User: ccagrawal
nba-analytics,Short, offhand analyses of the NBA
User: christopherjenness
nba-analytics,Visualization and analysis of NBA player tracking data
User: christopherjenness
nba-analytics,Predict the best lineup combination for each NBA team based on player clusters and and historical 5-man lineup performance.
User: dannyleese
nba-analytics,An analysis of the 2019 NBA finals in the context of all finals games since 1980; completed as a personal project
User: dashamet
nba-analytics,Jupyter notebook that outlines the process of creating a machine learning predictive model. Predicts the peak "Wins Shared" by the current draft prospects based on numerous features such as college stats, projected draft pick, physical profile and age. I try out multiple models and pick the best performing one for the data from my judgement.
User: dgrubis
nba-analytics,A Front-End project to show the hot shooting points of NBA players to help analysis.
User: donaldmyshen
nba-analytics,NBAShotTracker is a data visualization tool to track player shot performance.
User: ebaek
Home Page: https://ebaek.github.io/NBAShotTracker/
nba-analytics,
User: filip11
nba-analytics,Machine Learning project using 15 seasons of NBA data (2005-2020) to predict player position. Decision Trees, Random Forests, Support Vector Machines (SVMs) and Gradient Boosted Trees (GBTs) utilized. Example PCA transformation of X-data included as well. Specific predictions made at the end, leading to interesting insights into what players are out-of-position.
User: fischlerben
nba-analytics,ETL + Exploratory Data Analysis of NBA 2K23 Game's data
User: gilha
nba-analytics,NBA Shots visualization
User: giulianocornacchia
nba-analytics,Predicts Daily NBA Games Using a Logistic Regression Model
User: jakekandell
nba-analytics,Analysis of NBA player stats and salaries of the 2016-17 for the 17-18 season
User: joeyism
Home Page: http://nnnba.herokuapp.com
nba-analytics,A conceptual dashboard to visualize Expected Possession Value (EPV) in the NBA.
User: josedv82
Home Page: https://josedv.shinyapps.io/EPV_NBA_Dashboard/
nba-analytics,Predicting NBA game outcomes using schedule related information. This is an example of supervised learning where a xgboost model was trained with 20 seasons worth of NBA games and uses SHAP values for model explainability.
User: josedv82
nba-analytics,A working workbook looking at physical demands of plays in NBA using SportVU legacy data.
User: josedv82
nba-analytics,Project folder for all my Jupyter Notebooks and NBA data.
User: jovanipink
nba-analytics,NBA sports betting using machine learning
User: kyleskom
nba-analytics,web scrapes performed for Kaggle datasets.
User: logan-lauton
nba-analytics,Using machine learning to predict the outcome of NBA games.
User: luke-lite
Home Page: https://luke-lite.github.io/projects/NBA-Prediction-Modeling/
nba-analytics,NBA scoreboard web scraping using Python's selenium and Bucks 10 first games analysis
User: mateuszlesko
nba-analytics,Code for the article "Adjusting for Scorekeeper Bias in NBA Box Scores" published in DMKD and presented at Sloan.
User: mvanbommel
nba-analytics,Feature requests for the MySportsFeeds Sports Data API.
Organization: mysportsfeeds
nba-analytics,R wrapper functions for the MySportsFeeds Sports Data API
Organization: mysportsfeeds
Home Page: https://www.mysportsfeeds.com
nba-analytics,Displaying team performance against player rotations during NBA games
User: naveedgol
Home Page: https://naveedgol.com/NBARotationChart/
nba-analytics,Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.
Organization: nba-betting
nba-analytics,Labelling NBA action using deep learning :basketball:
User: neeilan
nba-analytics,This repository contains CSV files containing comprehensive NBA data spanning from the year 2010 to 2024, offering valuable insights into player statistics, team performances, game outcomes, and more.
User: nocturnebear
nba-analytics,The NBA Statistics Dashboard is an innovative and user-focused project that harnesses daily data scraping to create a dynamic platform for sports bettors, NBA enthusiasts, and fantasy league participants.
Organization: nogibjj
nba-analytics,Data Mining Project
User: omotuno
nba-analytics,R package to interact with NBA api
User: patrickchodowski
nba-analytics,Web application to see latest NBA news and stats
User: quevedoib
Home Page: https://nba-stats-six.vercel.app/
nba-analytics,Python package for filling in information about players on court in NBA play-by-play data.
User: shufinskiy
nba-analytics,🔮 Predicting NBA games using statistics (65% accuracy so far)
User: sidharthrajaram
nba-analytics,NBA game prediction model
User: spencer-weston
nba-analytics,An R package to quickly obtain clean and tidy men's basketball play by play data.
Organization: sportsdataverse
Home Page: http://hoopr.sportsdataverse.org/
nba-analytics,Being able to perform gameplay analysis of NBA players, NBA Predictive Analytics is a basketball coach's new best friend.
User: sravb
nba-analytics,Stattleship R Wrapper
Organization: stattleship
Home Page: https://api.stattleship.com/
nba-analytics,
User: sumitrodatta
nba-analytics,stats.nba.com library :basketball:
User: thunky-monk
nba-analytics,🏀NBA Live data api based on TencentSport , ESPN
User: topzar
Home Page: https://oyghan.github.io/
nba-analytics,This simple program predicts the result of an NBA match. Uses Monte-Carlo simulation to give the probability of each team winning the matchup.
User: treelover28
nba-analytics,A NBA player data explorer web app in Python using the Streamlit library
User: tta13
nba-analytics,
User: tugbagokalp
nba-analytics,visualization course project
User: wilsoncernwq
nba-analytics,本项目综合运用d3、echarts来完成可视化工作,实现了对nba两场比赛的可视化数据分析,包括球员运动轨迹、个人数据、传球次数以及得分位置等多种可交互式图表。通过可视化方法,我们能够进一步深入分析球队的具体情况,便于制定更佳的战术。
User: xieincz
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