Flight Price Prediction App
- 1 minutes read - 83 wordsThe deployed web-app is live now - Give Web-App a Try
- Developed an app that forecasts flight ticket prices with 94.88 % accuracy
- Preprocessed the data to a specific data form which is suitable for machine learning model
- Applied Dummy Encoding to Categorical Features such as Airline, Source and Destination
- Generated Feature Importance using Random Forest Algorithm
- Built a web-app using Streamlit and deployed it to the Heroku: A Cloud Application Platform
– Feature Importance Plot
– Prediction vs Actual