House Price Prediction App
A simple house price prediction application written in python trained using sklearn LinearRegression model, build using Dash UI framework and deployed on Heroku
Overview
The House Price Prediction app is a simple application written in Python that utilizes the sklearn Gradient Boosted Linear Regression model. The app is built using the Dash framework from Plotly and is deployed on Herokuapp.
Features
- Utilizes the sklearn Gradient Boosted Linear Regression model for accurate house price predictions.
- Utilizes the Dash framework from Plotly for creating an interactive user interface.
- Deployed on Herokuapp for easy access and usage.
Summary
The House Price Prediction app is a powerful tool for predicting house prices based on various features such as the number of bathrooms, living rooms, drawing rooms, kitchens, and other factors. It utilizes the sklearn Gradient Boosted Linear Regression model for accurate predictions and provides an interactive user interface built with the Dash framework from Plotly. The app is deployed on Herokuapp for easy access and usage.