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32 search results found

Fantasy Basketball ⭐ 216

Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm

Basketball_analytics ⭐ 141

Repository which contains various scripts and work with various basketball statistics

Nbashots ⭐ 128

NBA shot charts using matplotlib, seaborn, and bokeh.

Databall ⭐ 106

Betting on the NBA with data

Nba_betting ⭐ 93

Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.

Scripts to collect and analyze basketball data

Basic Nba Tutorials ⭐ 64

Tutorials for some common NBA stats questions in both python and R

Kobe Every Shot Ever ⭐ 59

A Los Angeles Times analysis of Every shot in Kobe Bryant's NBA career

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

Socialpowernba ⭐ 20

Social Power in the NBA (Comparing on the court performance with Social Influence in R and Python)

Portfolio ⭐ 12

Nbafantasysportbetting Ml Project ⭐ 12

Use Machine Learning to infer best betting strategy to play the NBA fantasy sport game on DraftKings

Nba Shot Analysis ⭐ 12

Visualizations to better understand NBA shooting tendencies and efficiency and classification models to predict shot outcomes

Artificial_curiosity ⭐ 12

Adaptive Reinforcement Learning of curious AI basketball agents

Python API for stats.nba.com

Nba Models ⭐ 10

NBA Three-Point Model for Sports Betting

Web_scraping_nba_data ⭐ 9

Using Selenium to web scrape Basketball-Reference.com

Nba On Court ⭐ 9

Python package for filling in information about players on court in NBA play-by-play data.

Nba Data Template ⭐ 9

Positional Clustering ⭐ 8

Using k-means clustering to group NBA players by role

NBA stats and analysis

Nba_player_types ⭐ 8

Using machine learning to classify NBA players

Draft Class Shooters Ml ⭐ 7

Using machine learning to predict the top shooters in the 2018 draft.

Nbarookieanalysis ⭐ 7

Analysis and Predictions of NBA Rookies using ML in python

Nba_data_scraping_and_analysis ⭐ 7

NBA History & analysis of: Player of the week, Head coaches, players statistics per season

Ml Nba Transfer Suggestion App ⭐ 7

Create you ML application to. predict the next best NBA transaction, using data from NBA API.

Nba Attendance Prediction ⭐ 7

Attendance prediction tool for NBA games using machine learning. Full pipeline implemented in Python from data ingestion to prediction. Attained mean absolute error of around 800 people (about 5% capacity) on test set.

Nba Twitter Analysis ⭐ 6

Making graphs of player-player connections on twitter

Nba Predict ⭐ 6

Predict NBA games winners with machine learning

Nba Draft Model 2018 ⭐ 6

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.

Shot_probability ⭐ 6

Building a shot probability model from NBA shot chart data

Collections of Sunthorn Phu's works

Nba Stats Model ⭐ 5

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

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