This code selects the top 2 features using SelectKBest and applies PCA to reduce the dimensionality of the iris dataset to 2 features.
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Here is some sample Python code using scikit-learn library to extract features from the iris dataset: This code selects the top 2 features using
| Feature | 3rd Edition | 4th Edition | | :--- | :--- | :--- | | | Minimal (just Perceptrons) | Full chapters on CNNs, RNNs, and autoencoders | | Code Examples | Pseudo-code only | References to Python libraries (scikit-learn) | | Reinforcement Learning | Basic MDPs | Detailed Q-Learning and Policy Gradients | | Data Processing | Ignored | Feature engineering & pipeline management | introduction to machine learning ethem alpaydin pdf github