Predicts price of the flight
- Application Demo : https://flight-price-prediction-appli.herokuapp.com
- Dataset : https://www.kaggle.com/nikhilmittal/flight-fare-prediction-mh/
- Metric Used : Mean squared error
- Sklearn pipelines are used to automate preprocessing , feature selection and model building
- The final pipeline is saved on the disk and loaded again in the flask application for making predictions
Setting it up in local is very easy , just follow the steps listed below
- virtualenv venv
- source venv/bin/activate
- pip install -r requirements.txt
- python app.py