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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.