Airline Ticket Price Prediction(india)

Airline Ticket Price Prediction (India)

Goal:

Predict airline ticket prices in India based on flight routes, timings, and travel details.

Process:

Collected and explored raw dataset (airports, routes, dates, times, etc.).

Applied data cleaning & preprocessing (handled missing values, encoded categorical features,

normalized data).

Engineered new features to improve model performance.

Tested multiple ML algorithms and selected the best-performing regression model.

Outcome:

Achieved an accuracy of 85%, building a predictive model that helps travelers and businesses

estimate costs more effectively.

Skills & Tools: Python, Pandas, NumPy, Scikit-learn, Data Visualization, Regression Models.