Flight-Ticket-Fare-Prediction-Flask-WebApp
Created a Model that estimates Flight Prices to help users look for best prices when booking flight tickets, Engineered features from the Departure Time, Date of Journey, to quantify the data and make it more understandable. Optimized multiple Regression models using GridsearchCV to reach the best model.
This is a Flight Fare price prediction project which predict fare prices using various features. For this purpose this project uses various machine learning models. This is an End-To-End project with deployment
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