Feature Extraction from Data

Feature extraction involves transforming raw data into a set of features that can be used by machine learning models. This lesson covers the basics of feature engineering and common techniques for extracting useful features from data.

What is Feature Extraction?

Feature extraction simplifies the raw data by identifying key attributes that are most relevant for analysis. It reduces data complexity and improves model performance.

Example:

• Extracting the month and day from a date column.
• Calculating the word count from text data.