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Airline Fare Prediction

This repository consists of files required for end to end implementation and deployment of Machine Learning Airline Fare Prediction web application created with Flask and deployed on the Railway platform.

Deploy on Railway

Softwares and Tools Requirements

Codes and Resources Used

Classification Algorithms used

  • Linear Regression, Ridge, Lasso
  • K-Neighbors Regressor
  • Decision Tree Regressor
  • Random Forest Regressor

Hyperparameter tunning

  • GridSearchCV

Copyright (c) 2022-23 Kritik Agarwal