Used car price prediction using linear regression...
The purpose of this study is to learn about linear regression using Scikit-Learn package. It's mainly based on the data and code of "The Data Science Course 2022: Complete Data Science Bootcamp" in Udemy. It's going to be a real life example about car sales. Data is messy so we need to
- Clean the dataset
- Go through some assumptions and relax some of them
- Practice log transformation
- Create a model
- Create dummy variables to handle categorical features
What we would like to do is predict the price of a used car depending on it's specifications.