✈️ Flight Ticket Price Prediction

This project focuses on predicting the price of flight tickets using machine learning techniques.
We used a dataset from Kaggle containing real flight data, including details like airline, departure time, class, and number of days left until departure.

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📌 Project Goal

Build a machine learning model to predict the ticket price based on:

• Airline
• Departure and arrival time
• Class (Economy / Business)
• Days left until departure

🧰 Tools & Libraries

• Python
• Pandas & NumPy
• Matplotlib
• Scikit-learn

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✅ Results

🔹 Linear Regression

• Mean Squared Error (MSE): 49,811,326
• R² Score: 0.90

🔹 Random Forest Regressor

• Root Mean Squared Error (RMSE): 2,725.84
• R² Score: 0.99

✅ Random Forest performed significantly better in terms of accuracy and generalization.