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.
Project is created with:
- Python
- HTML/CSS
- Flask
- Pandas / Scikit-Learn
- 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