GitHub - diyabrb/House-Price-prediction: A user-friendly web application that predicts house prices based on key features like median income, house age, number of rooms, population, and geographic location. The app uses a Random Forest Regression Model for accurate and reliable house price predictions. Users can input relevant data to instantly get an estimate of house prices.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
app1		app1
house		house
static/images		static/images
data.csv		data.csv
db.sqlite3		db.sqlite3
manage.py		manage.py

About

A user-friendly web application that predicts house prices based on key features like median income, house age, number of rooms, population, and geographic location. The app uses a Random Forest Regression Model for accurate and reliable house price predictions. Users can input relevant data to instantly get an estimate of house prices.