An analysis of the 2019 NBA finals in the context of all finals games since 1980; completed as a personal project
-
Updated
Jun 30, 2019 - HTML
#
nba-analytics
Here are 8 public repositories matching this topic...
-
Updated
Aug 13, 2019 - HTML
NBA database in C#
nba csharp nba-stats nba-statistics nba-analytics nba-visualization csharp-code csharp-script csharp-game nba-players csharp-app blazor blazor-application blazor-components blazor-component blazor-example blazor-webassembly
-
Updated
Oct 29, 2023 - HTML
**Credit to Dataquest** Welcome to the NBA Game Predictor repository, where data scraping meets predictive analytics for NBA enthusiasts and data science aficionados alike! This project leverages Python to scrape real-time NBA statistics from Basketball Reference, harnessing the power of data to predict game outcomes.
-
Updated
Feb 15, 2024 - HTML
The NBA data and Machine Learning
python nba machine-learning neural-network clustering regression xgboost decision-trees nba-analytics anomaly-detection jupyter-lab
-
Updated
Sep 27, 2023 - HTML
Blazor webassembly client using MudBlazor components and RapidAPI NBA API
-
Updated
Apr 7, 2022 - HTML
This is the notebook of our final project for CMSC320: Introduction to Data Science. In this project, we explore Hall of Famers in the NBA.
-
Updated
Dec 20, 2021 - HTML
Improve this page
Add a description, image, and links to the nba-analytics topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the nba-analytics topic, visit your repo's landing page and select "manage topics."