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In this project, I have created simple model which predict the price of the house on the basis of it's area.

Python 49.69% HTML 50.31%
predict-house-prices machine-learning-projects model-deployment flask-application house-price-prediction linear-regression-models python-flask-application machine-learning-projects-beginners machine-learning-algorithms

house-price-predictor's Introduction

House-Price-Predictor

In this project, I have created simple model which predict the price of the house on the basis of it's area, as I used single feature for prediction that's why I preferred to go with the linear regression algorithm. And the I train the model and saved all the parameters in pickle file and then deployed that model on web using flask.

To run this project, following dependencies are required-

--> flask To install flask in your system, use command

pip install flask --> sklearn

To install sklearn in your system, use command

pip install sklearn

--> Pandas To install Pandad in your system, use command

pip install pandas --> pickle

To install pickle in your system, use command

pip install pickle

To run the project in your system, type command in your command prompt or terminal

python app.py

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