jessicapadilla / lyft_fares

Forecasting Lyft Fares Using Linear Regression

This linear regression project focuses on predicting Lyft fares by using location, weather conditions, and other variables.

This repository contains the following files:

1. README.md: A description of the project.
2. code.R: The R script for this project.
3. lyft.csv.zip: A zip folder containing the Lyft ride data, which is stored as a compressed Microsoft Excel .csv file.
4. lyft_fares.Rproj: The RStudio file for this project.
5. report.Rmd: The RMarkdown file for this project.
6. report.pdf: A .pdf version of the project.