Data Transformation and Feature Engineering

Premium

In this section, we will focus on transforming and refining our data for better analysis and modeling. This process involves techniques like scaling, encoding, and feature engineering, essential for preparing our dataset for the next steps.

Normalizing and Scaling Data

Normalization and scaling adjust the scales of your features to a uniform range. This is important in datasets where feature scales vary significantly.

Unlock Premium Content

Upgrade your account to access the full article, downloads, and exercises.

You'll get access to:

  • Access complete tutorials and examples
  • Download source code and resources
  • Follow along with practical exercises
  • Get in-depth explanations