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

Yahoo fantasy basketball analyzer in Python

NBA players individual performance perdictions using Neural Networks. Comparison between LSTM and Feed Forward Architectures. Created by Meitar Bach, Mai Elenberg and Lior Ben-Ami

Personal project to scrape MLB & NBA stats and analyze best performers to use for fantasy baseball and basketball drafts

Genetic algorithm library to generate daily fantasy sports lineups for DraftKings

Gobble up an authenticated Yahoo session by mechanizing the login process

Web application for creating and maintaining fantasy leagues for different kinds of sport competitions.

Yahoo Fantasy Basketball WebApp and Toolkit

Simple web scraper package for gathering sports data from ESPN.com

Jupyter Notebooks analyzing NBA Player Perfomance for Fantasy.

A Yahoo! Fantasy Tracker application that allows you to see your fantasy data, your way. Made using a php backend that interacts with MySQL database to save player info and data from Yahoo! Fantasy API, with a React app frontend.

My personal research project on Daily Fantasy player Fanduel scores relative to their price

Discord bot for fantasy sports

Displaying the most underrated fantasy basketball players in advance

A Discord bot for ESPN Fantasy H2H Scoring Basketball Leagues that provides real-time updates, standings, scoreboards, and analytics. Built with ESPN Fantasy API and Firebase for a seamless fantasy sports experience

hooplyticsR is a basketball analytics project that uses machine learning to predict player performance metrics. It applies k-Nearest Neighbors (kNN) regression models to forecast key basketball statistics like points, rebounds, assists, and fantasy scores using the caret package in R.

Student project for cogsci course in Python 3

Roto fantasy basketball aggregate leaderboard for Reddit Can't Jump league of leagues.

Analyze and Predict NBA Players' Fantasy Scores

An NBA Fantasy Draft data science project using python. Steps include scraping data from 2020-2023, cleaning data, use Linear Regression to predict top players with highest fantasy points based on points scored, rebounds, assists, steals, blocked shots and turnovers.