Price-Predictor

General info

Ml based project which uses regression technique to predict the price. I have used various regression models and finds the model with lower rmse so as to predict the prices better as possible.

• I have used flask for deployimg the model over web page created through html and css.
• When user will enter the features of house and hit the predict button, the predicted price lable will be shown to the user.

Technologies and frameworks

Project is created with:

• Python
• HTML/CSS
• Flask
• Pandas / Scikit-Learn

Usage

• static/css folder contains CSS files and images used
• template folder contains HTML file
• app.py is a python file written in flask frramework which we have to run
• data.csv filse contains the data of houses
• house.joblib and model.pkl has model of stored
• myproject.py has the code for making the models, regression

-> After installation of these folders and files, you have to run app.py file

-> Then you'll get a link which will redirect you to webpage.

-> In this page, there will be labels for different house features which you'll have to enter

-> Then click on Predict button provided which will give you the predicted price as output.

Thanks