What are some effective feature engineering techniques for anomaly detection?
An example of an AI chatbot conversation about feature engineering for anomaly detection.
What are some effective feature engineering techniques for anomaly detection?
Some effective techniques include normalization, dimensionality reduction, and creating interaction features.
Can you explain how normalization helps in anomaly detection?
Normalization scales the data to a standard range, making it easier to identify outliers.
What about dimensionality reduction? How does it contribute?
Dimensionality reduction simplifies the dataset, reducing noise and improving the model's ability to detect anomalies.
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