House Price Prediction Using Machine Learning

This project aims to reduce the difference between the predicted and actual house prices using 'Linear Regression' machine learning model, which makes the estimated house prices to be 90% accurate.

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# Instructions for installation:


$terminal>> git clone https://github.com/Mayur-Debu/House-Price-Predictor.git


$terminal>> pip install -r .\requirements.txt       
'''
Use this command to automatically install all libraries at once.
'''


$terminal>> pip install package_name == version   
'''
Use this command to manually install any library with a custom version.
'''


$terminal>> flask run 
OR
$terminal>> python app.py 


# Flask app hosted at (Localhost): http://127.0.0.1:5000/


Features of House price predictor

User Friendly
Highly Intuitive
Oauth 2.0 Authentication
Blazing Fast
Open Source
Machine Learning Included

Tech Stack

Language and framework used in following project

language-python backend-flask backend-flask front-end-html styling-css