Bengaluru House 🏡 Price Using Regression
-
Updated
Apr 30, 2020 - Jupyter Notebook
Bengaluru House 🏡 Price Using Regression
Web application that utilizes a linear prediction model to analyze the USA Houses Price dataset. The trained model can predict the price of a house based on criteria such as location, number of bedrooms, number of bathrooms, and lot size.
Bangalore Home Price Prediction" is a web app that uses Jupyter Notebook, Flask, HTML/CSS/JavaScript, and Nginx to predict housing prices in Bangalore. Designed for efficiency and accuracy, it assists users in making informed real estate decisions.
An end to end house price prediction model
Add a description, image, and links to the banglore-house topic page so that developers can more easily learn about it.
To associate your repository with the banglore-house topic, visit your repo's landing page and select "manage topics."