Analysis of NBA player stats and salaries of the 2016-17 for the 17-18 season

A wrapper site for NNNBA

my dabbling in R and data analysis, predicting All-Star potential for players in the 2017 draft

python program that lets you make two teams of any combination of current players and predicts the outcome based on latest stats. Uses BeautifulSoup and pandas libraries.

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.

Using decision tree and random forest models, predict the winner of an NBA regular season game

Flask App based on The Ringer Wins Pool

Predicting LeBron's Next Era

Predict scores of NBA games using regularized matrix completion

Predicting the NBA outcome using a set of ML classification models

Estimating player value based on Win Share and Salary data

Reworked NBA Predictions (in Python)

This simple program predicts the result of an NBA match. Uses Monte-Carlo simulation to give the probability of each team winning the matchup.

⛹️⛹️‍♀️⛹️Collecting NBA player data and predicting player position label ⛹️⛹️‍♀️⛹️

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

predicting 2020's Most Improved Player, as well as candidates for next year

Predict the best lineup combination for each NBA team based on player clusters and and historical 5-man lineup performance.

predicting contracts for 2020 nba free agents