How do I choose the right algorithm for my problem?
Choosing the right algorithm depends on the problem type, data characteristics, and desired outcomes. Can you describe your problem?
I'm working on a classification problem with a large dataset.
For classification, you might consider algorithms like logistic regression, decision trees, or support vector machines. What features do you have?
I have both numerical and categorical features.
In that case, decision trees or random forests could be effective, as they handle mixed data types well. Have you thought about model evaluation?
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