The Diamond Price Prediction project leverages machine learning to predict diamond prices based on key attributes. It features a Flask web app for real-time, accurate price estimation.
An intelligent ML-powered House Price Predictor built with Python, Scikit-Learn, and Streamlit. 🚀 Includes full EDA, multiple regression models, and a clean interactive dashboard for real-time price predictions.
A machine learning model that predicts product sales across retail stores using regression techniques on historical sales data.
🏠 Predict house prices in real-time using advanced machine learning models with an easy-to-use web interface for insightful data analysis.
Add a description, image, and links to the regressionmodels topic page so that developers can more easily learn about it.
To associate your repository with the regressionmodels topic, visit your repo's landing page and select "manage topics."