How do I choose the right machine learning model in Python?
Choosing the right model depends on your data and the problem you're trying to solve. What type of data do you have?
I have a dataset with both numerical and categorical features.
For mixed data types, you might consider models like Random Forest or Gradient Boosting. Have you tried any models yet?
I tried linear regression, but it didn't perform well.
Linear regression may not capture complex relationships. You could try tree-based models or ensemble methods for better performance.
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