Model Development

Context

The attached notebook shows the development and visualization of several models that predict the price of a car using the variables or features within the dataset. This allows for an estimate of how much a car should cost.

Following the notebook will allow for an understanding of the model types, and how appropriate they are.

Model Types Used

The following model types are considered:

• Linear Regression

• Multiple Linear Regression

• Polynomial Regression

Pipelines

There are many steps to getting a prediction. For example, normalization, polynomial transform, and linear regression. These processes are simplifiedusing a pipeline. Pipeline sequentially perform a series of transformations. To do so, the module Pipeline is used here to create a pipeline.