House Price Prediction Web App

This is a simple web application that predicts house prices based on the number of rooms using linear regression and gradient descent in JavaScript.

Features

• Predicts house prices based on the number of rooms.
• Input validation: Ensures the number of rooms matches the number of prices.
• Data sanitization: Ignores non-numeric values and extra spaces.
• Normalization and scaling for reliable gradient descent.
• User-friendly interface with instructions.

How to Use

1. Open index.html in a browser.
2. Enter the number of rooms for existing houses (space-separated).
3. Enter the corresponding house prices (space-separated).
4. Enter the number of rooms for the new house to predict its price.
5. Click Predict to see the estimated house price.

Example

• Rooms: 1 2 3 4
• Prices: 2000000 2500000 3000000 3600000
• New House Rooms: 5
• Output: Estimated house price: ₹ 4000000

Technologies Used

• HTML, CSS, JavaScript
• Linear Regression (Gradient Descent)

Author

• Thrishala2006