Machine learning based project for prediction of flight price using the Randomforest regressor. It accepts the departure date and time, the arrival date and time, number of stopage, source, destination and from which flight user wants to travel and provide you the approximate fare to travel to your destination.
The dataset used in this project can be downloaded from the link given below. The data consists of some files in which one is the data_train and the other is test_data. The dataset maybe accessed here.
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Cloning the Repository:
git clone https://github.com/theAdarshSrivastava/Flight_Fare_Prediction- -
Entering the directory:
cd Flight_Fare_Prediction- -
Setting up the Python Environment with dependencies:
pip install -r requirements.txt -
Running the file:
python3 app.py
You can visit the website by clicking the link given below:- Click here:-flight-fare-predictor.