House Price Prediction System using Python
House Price Prediction System
Overview
House price prediction is a common problem in the real estate world. It helps people make better decisions when buying or selling a house.By using machine learning, we can guess the price of a house based on things like location, size, number of bedrooms, and more. In this article, we’ll learn how to make a machine learning model in Python that can predict house prices and give useful insights into the housing market.Made fully in Python, it has everything — model training, data handling, and a simple user interface for predictions. This project is built by UPDATEGADH and can be used for learning or real-world use.
📋 Project Details
| Project Name | House Price Predictor |
|---|---|
| Language Used | Python |
| Python Version | 3.x Compatible |
| Database Used | No database required |
| Type | Web Application |
| Developer | UPDATEGADH |
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Available Features
- Clean and intuitive user interface
- Real-time price prediction using trained ML model
- Custom data input form for prediction
- Includes
.pkltrained machine learning model file - Complete source code with modular Python scripts
- Easy to customize for additional features or integrations
- Professional code structure using
app.py,model.py, and data generaion scripts
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