FaseCast

FareCast is a machine learning project designed to analyze and predict transit costs in urban environments. Using a real-world dataset from the City of Chicago, this project implements a Linear Regression model to estimate fare prices based on trip distance and duration.

Setup

1. conda create -n farecost python=3.12 -y
2. conda activate farecost
3. pip install -r requirements.txt
4. python run.py