Machine learning project for NYC Yellow Taxi fare prediction. Complete data pipeline with DuckDB/Polars ETL, exploratory analysis of 34M trips, feature engineering, and ML model preparation. Achieves 0.954 correlation between distance and fare through comprehensive 2023 dataset analysis.

React - fare calculator for carriers, taking into account excess baggage, children's discounts (for excess and for everything)

Predict NYC taxi fares with AI! Built with React, Django, and Extra Trees Regressor (R² 0.94). Try it out!

The objective is to Predict the cab fare amount using historical pilot data in the city.

This is a project on designing a Machine Learning Algorithm to predict fare of the largest taxi company "Uber" using python. The main objective of the project is to design an algorithm which will tell the fare to be charged for a passenger.

Flight Fare Prediction using Machine Learning and Data Analysis including a Flask Website

Academic ML project

A fare prediction app built on Streamlit