chugh007/FlightPricePrediction

Simple Application for predicting price of the flight. It uses sklearn pipeline to perform preprocessing , feature selection and feature engineering and model building .The pipeline object is saved in a pickle file and used in the flask application for prediction

FlightPricePrediction

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

Implementation Notes

• 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

Demo

Setup

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