In this project I built a model for predicting the fare of the flight ticket.
Extract the dependent variables and the independent variables from the dataset. Split the skewed data into shuffled sets using stratified shuffle split in sklearn library. Used the Hyperparameter tuning to increase the accuracy of prediction.
- Python
- scikit-learn/sklearn
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Jupyter/Spyder/Pycharm
You can collect raw dataset from here. The files contain
- Airline
- Date_of_Journey
- Source
- Destination
- Route
- Dep_Time
- Arrival_Time
- Duration
- Total_Stops
- Additional_Info
- Price
