GitHub repository: sarthakkmishraa/Flight-Price-Prediction-With-Deployment
Primary language: Jupyter Notebook
Created: 2021-03-26T05:23:53Z
Description: I have built a simple web app that predicts the price of flights based on inputs such as Departure date and time, Source and destination, etc. The model is trained on "Random Forest Regressor" and deployed using "Streamlit" on Heroku. The accuracy of the model was found out to be 95% on the train data and about 80% on the test data.