DevOps Roadmap for 2024. with learning resources

How to be low-level programmer

An efficient package for fetching and processing NBA data

NBA play-by-play data with several use cases

An open-data fantasy football repository, maintained by DynastyProcess.com

Prevents you from committing secrets and credentials into git repositories

An API Client package to access the APIs for NBA.com

Chronos: Pretrained Models for Probabilistic Time Series Forecasting

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

Demo of NBA Expected Possession Value model

NBA Win Probability Model (R Code)

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

An R wrapper for the Odds API (https://the-odds-api.com/)

NBA Stats API Wrapper and more for R

An R Shiny app to help make betting decisions for FanDuel player props

Personal Project I had Completed to Predict the Top 10 Highest Paid Free Agents in the 2022 NBA Offseason

This R code web-scrapes NBA.com's data which is stored in JSON format. The code then converts the data into a format that can we understood and analyzed using R.

Codes for tweets from @NbaInRstats

A tool to scrape to scrape action network's available information on betting lines for a given sport.

A simple python/selenium based web scraper to collect data on sports odds from actionnetwork.com and store it in a MySQL database consisting of tables which mimic the displayed data on the website.