This is a kaggle competition project

This project is about predicting taxi fare amount for a given trip in New York City. It includes data exploration (Geospatial analysis), featureengineering (includes transforming cyclical features), fine tuning XGBoost model, creating an API, and continuious deployment on Heroku.

the 🚖 NYC Taxi Fare Predictor API 👉 https://github.com/Guli-Y/NYCtaxifarePredictorAPI

👉 https://nyc-taxifare-predictor.herokuapp.com/ ⏳ first load will take ~1 minutes

Note that this project is only for practicing and the model was trained on older datasets. Therefore the predicted fare can't be trusted.