A Flight price prediction application which predicts fares of flight for a particular date based on various parameters like Source, Destination, Stops & Airline.Data used in this Project is publicly available at Kaggle. The dataset goes through Data Cleaning, Data Wrangling , Exploratory Data Analysis which gives insights about the data and later uses Machine Learning techniques to train the data for prediction.
It is a regression problem which is solved using RandomForestRegressor ML Algorithm which generates accurate results for price prediction. A web application is created using Flask through which user can interact and get accurate prediction of flight fares.
- Python
- Jupyter Notebook
- Flask
- HTML/CSS