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--- |
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title: Flight Price Prediction |
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emoji: ✈️ |
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colorFrom: yellow |
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colorTo: blue |
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sdk: streamlit |
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sdk_version: 1.0.0 |
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app_file: app.py |
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pinned: false |
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--- |
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# Flight Price Prediction |
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- I did this project just to perform some next-level feature engineerings to elevate the performance of this model. |
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- 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. |
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- Actually, this was a Kaggle problem. |
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- 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. |
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- Also used ExtraTreeRegressor to visualize the importances of all the features. |
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- Just run `app.py` to see the GUI on localhost. |
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Do visit my blog for better explanations: [Machine Learning Projects](https://machinelearningprojects.net/flight-price-prediction/) |
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