Machine learning-based application for predicting the injury recovery time period a sports person based on injury type and diet plan.

machine learning web app that predicts students’ math exam scores using demographic and academic factors. Built with Flask, HTML/CSS, and a Random Forest model trained on the Student Performance dataset. Interactive, insightful, and easy to use.

Predictive machine learning application estimating employee compensation baselines via Scikit-Learn and a Flask API microservice.

Exploring the relationship between student test scores in California public schools with several factors using Multiple Linear Regression method.

This project consists on a regression model for analysis of a data collection of automobile industry. The main objectivo is to explore the relationship between a set of variables and miles per gallon (MPG)

A web-based house price prediction system using machine learning. Users can input house details like area, city, BHK, and furnishing status to get a real-time price prediction.