What is feature engineering for classification?
An example of an AI chatbot conversation about feature engineering techniques for classification tasks.
What is feature engineering for classification?
Feature engineering for classification involves creating and selecting the right features to improve model performance.
Can you give me some examples of feature engineering techniques?
Sure! Techniques include normalization, one-hot encoding, and creating interaction features.
How do I decide which features to engineer?
You can use domain knowledge, correlation analysis, and feature importance metrics to guide your decisions.
What tools can I use for feature engineering?
Popular tools include Python libraries like Pandas, Scikit-learn, and featuretools for automated feature engineering.
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