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Flight-Price-Prediction

  • I did this project just to perform some next level feature engineerings to elevate the performane of this model.
  • I have also created a gui using HTML,Bootstrap,CSS and implemnted the backend in Flask for this project and will be uploading that on Heroku soon.
  • Actually this was a Kaggle problem.
  • Initially I used RandomForestRegressor but that was not giving very satisfying results so I used RandomSearchCV to find best hyerparameters and came up witha a good model with r2 score of around 0.82.
  • Also used ExtraTreeRegressor to visualize the importances of all the features.
  • Just run app.py to see the gui on local host.

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  • Jupyter Notebook 96.9%
  • Python 1.6%
  • HTML 1.5%