Flight Price Prediction with deployment

I have built a simple web app model which predicts the price of flight given the departure time , arrival time , date of journey , airline etc !

This was a fun project as the dataset which I had was categorical and to convert that into meaningful and mapping numerical values took me some time !

The accuracy on test data is 80 % and for the train data it goes to 95 %

I have also included the dataset (air_train.xlsx and air_test.xlsx) , the jupyter notebook(main code) file and the pickle file !

Demo Link

https://flight-price-predictionmlapp.herokuapp.com/

Deployment.

Heroku

Frontend and Backend -- Streamlit

Steps to follow after cloning :

1.place the pickle file in the same directory

2.Run the ipynb file

3. Use streamlit and heroku for the deployment

Any issue or requirement if necessary , you can raise a request !

Thank you !