How do I implement ensemble methods in machine learning?
Ensemble methods combine multiple models to improve performance. Would you like to know about specific techniques?
Yes, what are some common ensemble techniques?
Common techniques include bagging, boosting, and stacking. Do you want details on any of these?
Can you explain boosting?
Boosting is an iterative method that adjusts the weights of misclassified instances to improve model accuracy. Would you like to see an example?
Yes, please provide an example of boosting in Python.
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