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Introduction to Feature Engineering Chapter 1: Introduction to Feature Engineering What is Feature Engineering?Importance in Machine Learning Chapter 2: Handling Missing Data Common Causes of Missing Data Techniques to Handle Missing Data Chapter 3: Encoding Categorical Variables One-Hot Encoding Label Encoding Chapter 4: Feature Scaling and Normalization Why Scale Features?Normalization Techniques Chapter 5: Feature Selection Importance of Feature Selection Methods for Feature Selection

Methods for Feature Selection

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