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airline-fare-prediction

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divyansh1195 / Flight-Fare-Prediction

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End to end implementation and deployment of Machine Learning Airline Flight Fare Prediction using python, flask, gunicorn, scikit-Learn, etc. on Heroku web application platform.

python random-forest scikit-learn jupyter-notebook gunicorn prediction pandas seaborn webapp flask-application html-css pickle regression-models numpy-arrays pandas-library matplotlib-pyplot heroku-platform airline-fare-prediction predicts-flight-fares heroku-error
  • Updated Nov 3, 2020
  • Jupyter Notebook

SamJoeSilvano / Airline_Ticket_Fare_Prediction

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Airline Fare Prediction using Machine Learning focuses on developing a Random Forest model to predict flight prices, achieving an R² score of 0.804. The project includes hyperparameter tuning using RandomizedSearchCV, alongside extensive data preprocessing and feature engineering to ensure robust model performance.

python machine-learning random-forest scikit-learn pandas data-visualization feature-selection data-preprocessing feature-engineering hyperparameter-tuning regression-analysis randomizedsearchcv airline-fare-prediction
  • Updated Oct 16, 2024
  • Jupyter Notebook

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