cmunch1/nba-prediction

A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.

Language: Jupyter Notebook - Size: 1.38 GB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 252 - Forks: 39

christopherjenness/NBA-prediction

Predict scores of NBA games using regularized matrix completion

Language: Python - Size: 66.4 KB - Last synced at: 15 days ago - Pushed at: about 6 years ago - Stars: 156 - Forks: 43

kyleskom/NBA-Machine-Learning-Sports-Betting

NBA sports betting using machine learning

Language: Python - Size: 416 MB - Last synced at: 17 days ago - Pushed at: 4 months ago - Stars: 1,384 - Forks: 477

JakeKandell/NBA-Predict

Predicts Daily NBA Games Using a Logistic Regression Model

Language: Python - Size: 607 KB - Last synced at: 18 days ago - Pushed at: over 2 years ago - Stars: 129 - Forks: 48

joeyism/nnnba

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

Language: Python - Size: 51.4 MB - Last synced at: 9 days ago - Pushed at: over 7 years ago - Stars: 10 - Forks: 3

KengoA/fantasy-basketball

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

Language: Jupyter Notebook - Size: 184 MB - Last synced at: 22 days ago - Pushed at: almost 2 years ago - Stars: 257 - Forks: 57

NBA-Betting/NBA_AI

Using AI to predict the outcomes of NBA games.

Language: Python - Size: 17.3 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 24 - Forks: 7

NBA-Betting/NBA_Betting

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

Language: Jupyter Notebook - Size: 67.1 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 143 - Forks: 17

thomas-abraham13/MScDissertation

Predicting the final seeds of National Basketball Association teams, a Machine Learning approach

Language: Jupyter Notebook - Size: 77.4 MB - Last synced at: 10 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

nfmcclure/NBA_Predictions

Reworked NBA Predictions (in Python)

Language: Python - Size: 43.9 KB - Last synced at: 29 days ago - Pushed at: over 5 years ago - Stars: 29 - Forks: 13

agarwalrohan189/NBA_MATCH_PREDICTION

The NBA game prediction using multiple classifiers and multiple feature sets along with a comparative analysis of the same. Web scraping techniques are used to scrap around the past 10 years data from the official nba/stats website to perform feature engineering for the classification problem.

Language: Python - Size: 15.6 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

nasserkessas/NBA-mvp-predictor

The code used for my year 11 Specialist Maths assignment

Language: Jupyter Notebook - Size: 55.7 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

LarryLoveIV/PySpark-NBA

Work in-progress NBA Game Predictor using Spark

Language: Jupyter Notebook - Size: 404 KB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

gorgzhang/lebron-team

Predicting LeBron's Next Era

Language: JavaScript - Size: 67.4 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

Peppershaker/Predicting-NBA-Player-Position

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

Language: Jupyter Notebook - Size: 11.6 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

YanjunLin-Andrie/FanaticFi

FanaticFi, empowered by machine learning, is a new financial investment platform where investors make payments to collegiate athletes to enable them with optimal training, diet, and equipment. While these elite athletes enter drafts and sign their contracts, investors will benefit under a predetermined investment return rate.

Language: Jupyter Notebook - Size: 10.7 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 2

MeitarBach/nba-individual-predictions-lstm

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

Language: Jupyter Notebook - Size: 40 KB - Last synced at: 21 days ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 1

sidharthrajaram/CrystalBall

🔮 Predicting NBA games using statistics (68% accuracy so far)

Language: Python - Size: 2.45 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 8 - Forks: 3

chiefsmurph/pattern-predict

finding patterns in up down sequences

Language: JavaScript - Size: 8.33 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 2

ahmadj1801/NBA-Predictions

Python scripts that can be used to identify outstanding players for a given season as well as predict the output of a game given two teams

Language: Python - Size: 4.67 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

velaraptor/nba_win_flask

Flask App based on The Ringer Wins Pool

Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

RohanPankaj/NBA-Prediction

The NBA-Predictions Project uses Machine Learning to predict the score of NBA-games and the performance of individual players.

Language: Jupyter Notebook - Size: 5.42 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 0

sumitrodatta/contract-prediction-2020

predicting contracts for 2020 nba free agents

Language: R - Size: 3.5 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

sumitrodatta/most-improved-player

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

Language: R - Size: 87 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

DARKSIDE-Projects/JPB-N.B.A.23-Project

Software for N B A 23 Trainer

Size: 2.93 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 95 - Forks: 0

swapnil-ahlawat/NBA_Game_Predictor

A comparative study of various models for prediction of Win/Loss of a basketball game based on the team’s as well as players’ past statistics. Also focused on the web scraping techniques to scrap raw datasets from the nba/stats website and feature engineering on the collected datasets to best suit the classification problem.

Language: Python - Size: 15.7 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 2

GabrielPastorello/NBA-Modelo-MVP

Use of Machine Learning tools with Python to observe the patterns in the logic of the MVP choice, verifying which are the most important statistics in this award.

Language: Jupyter Notebook - Size: 3.37 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 0

aviskarkc10/nba-expected-bucket

Predicting the outcome of shots based on the events and tracking data available for the 2015/16 season.

Language: Jupyter Notebook - Size: 13.7 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 1

rykwan/nba-dream-sim

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.

Language: Python - Size: 5.86 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 0

treelover28/nbaMatchPredictor_PROTOTYPE

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

Language: Java - Size: 15.6 KB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 8 - Forks: 1

jackeiel/NBA

NBA Score Prediction

Language: Python - Size: 48.8 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

ixarchakos/nba-games

NBA games' prediction

Language: Python - Size: 3.68 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 11 - Forks: 2

sidharthrajaram/mvp-predict

predicting the NBA mvp (3/3 so far)

Language: Python - Size: 2.92 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 12 - Forks: 3

Spencer-Weston/NBApredict

NBA game prediction model

Language: Python - Size: 622 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 7

mattdmv/NBA-2K-player-rating-predictor

Machine Learning makes predicting NBA2K player ratings one of the easiest things in the world.

Language: Jupyter Notebook - Size: 1.75 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Jonny-T87/NBA-Trends

The analysis of NBA Finals statistics which are likely to lead a Home Team to Win.

Language: Jupyter Notebook - Size: 6.58 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

YanjunLin-Andrie/FanaticFi_Heroku

Demonstrates the deployment process of FanaticFi, an NBA Draft Rank Prediction app empowered by Support Vector Machines (SVM) machine learning model using the Flask application and Heroku cloud services. This user-friendly web application is going to predict whether NBA rookie’s draft rank is within the top 15 or below based on given player’s statistics.

Language: CSS - Size: 2.22 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

sumitrodatta/nba-free-agency-dashboard

http://sumitrodatta.shinyapps.io/nba-free-agency-dashboard/

Language: R - Size: 96.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

drduda9/NBA-Player-Value

Estimating player value based on Win Share and Salary data

Language: Jupyter Notebook - Size: 4.73 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 2 - Forks: 1

bnafack/NBA_GAMES

The project aims to predict the winner of a basketball game, the ranking of the NBA Playoffs, the winner of each conference, as well as the winner of the NBA.

Language: R - Size: 42.4 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

surmud/NBA-Hall-of-fame-predictor Fork of sxnaan/nba-hof

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.

Language: HTML - Size: 4.2 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

insomniac-klutz/NBA-MVP-2020-EDA

Analysis of voting patterns and their correlation to past candidates performance over the years to determine the probability of current candidates to be crowned the NBAs' Most Valuable Player for season 2019-20

Language: Jupyter Notebook - Size: 782 KB - Last synced at: 8 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Umarfoo/NBA_2020_Predictions

Carried out predictive analysis on the latest NBA 2020 games data to predict the winners/lossers of the NBA 2020 season. Used linear regression in python to develop a winning equation, matplotlib to develop charts and google api to create heat map.

Size: 684 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

eric-hochberger/nba-salaries

Language: HTML - Size: 106 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

joeyism/nnnba_website

A wrapper site for NNNBA

Language: JavaScript - Size: 31.5 MB - Last synced at: 2 months ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 1

rykwan/rookieNBA-data-analysis-R

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

Language: R - Size: 114 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0