Airline Passenger Prediction

Airline Passenger Prediction System is a Machine Learning and Data Analysis project designed to analyze airline passenger data and predict future passenger trends.

The system processes historical flight and passenger datasets, identifies patterns and seasonal changes, and generates accurate forecasting results to support decision-making in the aviation industry.

The project was developed using Python and data analysis libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn.

It includes data preprocessing, visualization, predictive modeling, and performance evaluation to provide reliable passenger traffic predictions