The goal of this analysis to answer the following question: Which factors play the most influential role in setting a car’s price?
Dataset
car_price.csv A car dataset with 17 columns is explored and analyzed in this application.
Columns:
- id
- region
- price
- year
- manufacturer
- model
- condition
- cylinders
- fuel
- odometer
- title_status
- transmission
- VIN
- drive
- size
- type
- paint_color
- state
Models used:
- Linear Regression
- Polynomial Regression
- Lasso Regression
- Ridge Regression
Most of these models seem to yield similar results. Using a degree 2 model yield worse results than just using a degree 1 model.
Technologies
- Python
- Pandas, Jupyter
Author: Katherine Lopez
Link: https://github.com/kalopez/practical_application_car_pricing
Summary of Findings:
Factors that influence car price in order of importance:¶
- Year
- Odometer
- Cylinders
- S