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---
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](https://machinelearningprojects.net/flight-price-prediction/)
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