How do I choose the right features for my AI model?
Choosing the right features involves understanding your data and the problem you're solving. What type of data do you have?
I have a dataset with customer information and their purchase history.
Great! You might want to consider features like age, income, and previous purchases. Have you thought about feature importance techniques?
No, what are feature importance techniques?
Feature importance techniques help you identify which features contribute most to your model's predictions. Methods like Random Forest or SHAP values can be useful.
That sounds interesting! How do I implement SHAP values?
You can implement SHAP values using the SHAP library in Python. Would you like a code example?
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