A Flask web app deployed and uses built Regression model to predict an individual's likelihood to seek mental healthcare treatament.
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Updated
Jan 7, 2025 - JavaScript
A Flask web app deployed and uses built Regression model to predict an individual's likelihood to seek mental healthcare treatament.
A Machine Learning solution to predicting the outcome of an English Premier League match
Market price indicator - book depth and global volume
Database for Materials
TOP 🏆 WINNING FOOTBALL 🏆 TEAMS
This repository contains the React-based frontend of the House Price Prediction system. It serves as a user interface for entering property details such as bedrooms, bathrooms, square footage, and other features. The frontend interacts with the backend API to provide real-time predictions and visualize data dynamically.
Machine Data Hub Web App
Using Linear Regression to identify drivers for Airbnb Pricing in Asheville, NC
A predictive modelling for nutritional diet
🚦 A Flask web application that uses a neural network (queryNN) to predict traffic light changes based on real-time car data at an intersection.
Future Urban-Wildfire Risk Mapping (FUWRM), pronounced as "form". This repository holds the programming script files and some of the binaries that represent the predictive risk maps for wildfires in urban regions of Southern Victoria (AUS) and Northern California (USA) in 2030 and 2040.
Model for predicting growth of COVID-19 infections in India
A system that uses predictive modeling to predict queue trends based on historical data.
A repository to develop predictive-modelling using backpropagation neural network and image analysis
ML knowledge in byte-sized flashcards
PhenoPredict is an advanced application that analyzes genetic data and images to provide insights into an individual’s appearance, behavioral traits, ancestry, and potential health risks.
This project focuses on enhancing biomass management efficiency through advanced AI and time series analysis for accurate prediction. The platform utilizes React Native for the frontend, Node.js and Express.js for the backend, MongoDB as the database, and incorporates additional technology with Python.
Our goal is to predict how likely individuals are to receive their H1N1 and seasonal flu vaccines.
We Use Machine Learning & Bayesian Optimization to Guarantee Net Profits!
Design study for Data Visualization course at Vanderbilt
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