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Learn AI with Python · Lesson

Data Normalization

Standardization and scaling techniques.

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Data Normalization

Data normalization ensures that all features in a dataset have similar scales. This is crucial for algorithms like gradient descent and distance-based models. In this lesson, we’ll explore standardization and scaling techniques.

Data Normalization — illustration 1

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Why Normalize Data?

Normalization ensures that all features contribute equally to the model. Without normalization, features with larger scales can dominate the learning process.

Example:

  • Age (0-100) and income (0-100,000) should be scaled to comparable ranges.

All lessons in this course

  1. Types of Data
  2. Handling Missing Data
  3. Data Normalization
  4. Data Merging in Python
  5. Feature Extraction from Data
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