Check out my app: link https://flight-price-predictionn.herokuapp.com/predict
Flask Web App for Flight Price Prediction
This code is written in python 3.6.10. If you want to install Python You can click here to know more about it. If you have python but not having required libraries and packages, then you can install those libraries and command using this command.
pip install -r requirements.txt- Find required package and libraries file here
After performing feature enginerring and feature selection (to find out which will contribute and have good relation with target variableI) on data set, I trained the model to predict price by Using Random Forest. To serialize our python code we used pickle module. Pickel moduel Is used to convert python object into a byte stream. You can Read more about pickle Module here.
Find the code here
https://www.kaggle.com/nikhilmittal/flight-fare-prediction-mh
For deployment of model I used Heroku (A platform to run, build and operate application entirely in the cloud) To know more about step by step process of building and deploying our application on Heroku, you can find it here.
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