Topic: nba-prediction Goto Github
Some thing interesting about nba-prediction
Some thing interesting about nba-prediction
nba-prediction,Predicting NBA results with Machine Learning models.
User: 7antoniosegovia
Home Page: https://7antoniosegovia.shinyapps.io/NBA_predictions/
nba-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.
User: agarwalrohan189
nba-prediction,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
User: ahmadj1801
nba-prediction,Predicting the outcome of shots based on the events and tracking data available for the 2015/16 season.
User: aviskarkc10
nba-prediction,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.
User: bnafack
Home Page: https://github.com/B23579/NBA_GAMES
nba-prediction,finding patterns in up down sequences
User: chiefsmurph
nba-prediction,Predict scores of NBA games using regularized matrix completion
User: christopherjenness
nba-prediction,Using decision tree and random forest models, predict the winner of an NBA regular season game
User: clprice32
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.
User: cmunch1
Home Page: https://cmunch1.github.io/nba-prediction/
nba-prediction,Utilizing machine learning in attempt to accurately predict which NBA players will end up being named All Stars based on their first two seasons in the league
User: coleppert
nba-prediction,Predict the best lineup combination for each NBA team based on player clusters and and historical 5-man lineup performance.
User: dannyleese
nba-prediction,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.
User: dgrubis
nba-prediction,Estimating player value based on Win Share and Salary data
User: drduda9
nba-prediction,
User: eric-hochberger
nba-prediction,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.
User: gabrielpastorello
nba-prediction,Predicting LeBron's Next Era
User: gorgzhang
nba-prediction,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
User: insomniac-klutz
nba-prediction,NBA games' prediction
User: ixarchakos
nba-prediction,NBA Score Prediction
User: jackeiel
nba-prediction,Predicts Daily NBA Games Using a Logistic Regression Model
User: jakekandell
nba-prediction,Analysis of NBA player stats and salaries of the 2016-17 for the 17-18 season
User: joeyism
Home Page: http://nnnba.herokuapp.com
nba-prediction,A wrapper site for NNNBA
User: joeyism
Home Page: http://nnnba.herokuapp.com
nba-prediction,The analysis of NBA Finals statistics which are likely to lead a Home Team to Win.
User: jonny-t87
nba-prediction,Quantifying NBA player interactions
User: jpleet
Home Page: https://jpleet.github.io/nba-factory/
nba-prediction, Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm
User: kengoa
nba-prediction,NBA sports betting using machine learning
User: kyleskom
nba-prediction,Work in-progress NBA Game Predictor using Spark
User: larryloveiv
nba-prediction,Machine Learning makes predicting NBA2K player ratings one of the easiest things in the world.
User: mattdmv
nba-prediction,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
User: meitarbach
nba-prediction,Predicting the NBA outcome using a set of ML classification models
User: mhsueh2
nba-prediction,Analyze and Predict NBA Players' Fantasy Scores
User: michaelply
nba-prediction,Predicting NBA salaries using machine learning through R. Clustering players based on stats to determine player type in an increasingly position-less era of basketball.
User: myorourke
Home Page: https://macklinorourke.wordpress.com/
nba-prediction,The code used for my year 11 Specialist Maths assignment
User: nasserkessas
nba-prediction,Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.
Organization: nba-betting
nba-prediction,Reworked NBA Predictions (in Python)
User: nfmcclure
nba-prediction,
User: patrickdg
nba-prediction,⛹️⛹️♀️⛹️Collecting NBA player data and predicting player position label ⛹️⛹️♀️⛹️
User: peppershaker
nba-prediction,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.
User: r2kwan
nba-prediction,The NBA-Predictions Project uses Machine Learning to predict the score of NBA-games and the performance of individual players.
User: rohanpankaj
nba-prediction,🔮 Predicting NBA games using statistics (65% accuracy so far)
User: sidharthrajaram
nba-prediction,🏀 predicting the NBA mvp (3/3 so far)
User: sidharthrajaram
nba-prediction,NBA game prediction model
User: spencer-weston
nba-prediction,predicting contracts for 2020 nba free agents
User: sumitrodatta
nba-prediction,predicting 2020's Most Improved Player, as well as candidates for next year
User: sumitrodatta
nba-prediction,http://sumitrodatta.shinyapps.io/nba-free-agency-dashboard/
User: sumitrodatta
Home Page: http://sumitrodatta.shinyapps.io/nba-free-agency-dashboard/
nba-prediction,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.
User: swapnil-ahlawat
nba-prediction,This simple program predicts the result of an NBA match. Uses Monte-Carlo simulation to give the probability of each team winning the matchup.
User: treelover28
nba-prediction,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.
User: umarfoo
nba-prediction,Flask App based on The Ringer Wins Pool
User: velaraptor
nba-prediction,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.
User: yanjunlin-andrie
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.