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A newer version of the Streamlit SDK is available: 1.52.2

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metadata
title: Flight Price Prediction
emoji: ✈️
colorFrom: yellow
colorTo: blue
sdk: streamlit
sdk_version: 1.0.0
app_file: app.py
pinned: false

Flight Price Prediction

  • I did this project just to perform some next-level feature engineerings to elevate the performance of this model.
  • I have also created a GUI using HTML, Bootstrap, CSS, and implemented 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 the best hyperparameters and came up with a good model with an 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 localhost.

Do visit my blog for better explanations: Machine Learning Projects

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