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Interactive NBA and NCAA Shot Charts with R and Shiny
This project pulls past game data from api-football, and uses this to predict the outcome of future premier league matches with the use of classical machine learning techniques.
This is an AI psychologist in your phone. Based on openai and telegram apis.
Introducing neural networks to predict stock prices
Predicted the longevity of NBA players for investors using multiple ML models (Logistic Regression, Linear Discriminant Analysis, QDA, XGboost) and implemented an API interface.
NBA sports betting using machine learning
NBA play-by-play data from stats.nba.com, data.nba.com, pbpstats.com, and also shots information with season 1996/97
All the files used in my NCAA Men's Basketball modeling, predictions, bracketology, and Ivy League simulations.
A neural networks predicting sports results.
A collection of Shiny applications (links shared on Twitter)
A free sports API written for python
A LSTM neural network time-series modeling application for forecasting stock price data, implementing several learning and hyper-parameter optimization features
Welcome to the Stock Market Prediction Web App repository! This project aims to provide a user-friendly web application for predicting stock market trends using machine learning models.
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets
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.