What are some advanced feature engineering techniques I can use for my machine learning model?
An example of an AI chatbot conversation about advanced feature engineering techniques for machine learning.
What are some advanced feature engineering techniques I can use for my machine learning model?
Some advanced techniques include polynomial features, interaction terms, and using domain knowledge to create new features.
Can you explain how to create polynomial features?
Sure! Polynomial features are created by raising existing features to a power or by multiplying them together. This can help capture non-linear relationships.
What about interaction terms? How do they work?
Interaction terms are created by multiplying two or more features together. They help the model understand how features influence each other.
Are there any tools or libraries that can help with feature engineering?
Yes! Libraries like Scikit-learn and Featuretools provide functions to automate and simplify feature engineering tasks.
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