Bengaluru House 🏡 Price Using Regression
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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.
An end to end house price prediction model
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.
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