Data Preparation | Data Prep
This section focuses on cleaning, transforming, and engineering data to make it suitable for machine learning models.
Data Extraction | Cleaning
Techniques to clean and preprocess raw data for better results.
Feature Engineering
Create new features or optimize existing ones for models.
Data Transformation
Transform and normalize data to meet model requirements.