In the highly competitive travel industry, pricing strategies can significantly impact a company's revenue and market share. FlightFareOptimizer is a machine learning project designed to predict flight fares on various routes, empowering 'EaseMyTrip' (or any travel startup) to make informed pricing decisions and enhance customer engagement
Programming Languages: Python
Libraries: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Shutil, Sklearn(scikit learn)
Tools: Jupyter Notebook, GitHub
Data Sources: Historical flight data of 'EaseMyTrip' from Kaggle. (https://www.kaggle.com/datasets/shubhambathwal/flight-price-prediction.)