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Flight Fare Prediction System Overview by Deepak jaiswal is a document available to read on EtoBox.

What is Flight Fare Prediction System Overview about?

This document summarizes a student project to build a flight fare prediction system using machine learning. The project uses random forest regression to predict flight fares based on features like number of stoppages, airline, source, destination, dates. It describes the technologies used like Python, Pandas, Scikit-learn, and tools like Jupyter Notebook, PyCharm. It discusses challenges faced with feature selection and data types. The document states that the ML model and web UI are complete, but developin

Author

Deepak jaiswal

Language

EN