Month 16: Feature Engineering

Week 1: Introduction to Feature Engineering

• Overview of Feature Engineering
• Importance of Feature Engineering in Machine Learning
• Types of Features

Week 2: Feature Extraction Techniques

• Text Feature Extraction Techniques
• Image Feature Extraction Techniques
• Time Series Feature Extraction Techniques

Week 3: Feature Selection Techniques

• Univariate Feature Selection
• Recursive Feature Elimination
• Principal Component Analysis (PCA)
• Correlation-based Feature Selection

Week 4: Feature Engineering for Deep Learning

• Convolutional Neural Networks (CNNs) for Feature Extraction
• Recurrent Neural Networks (RNNs) for Feature Extraction
• Attention Mechanisms for Feature Selection
• Transfer Learning for Feature Engineering