How do I choose the right algorithm for my project?
Choosing the right algorithm depends on your project's goals, data type, and performance requirements. Can you share more details?
I'm working on a classification problem with a large dataset.
For classification, you might consider algorithms like Logistic Regression, Decision Trees, or Random Forests. What are your accuracy requirements?
I need high accuracy and the ability to handle imbalanced data.
In that case, Random Forests or Gradient Boosting might be suitable. Have you considered using techniques like SMOTE for balancing?
No, I haven't. What is SMOTE?
SMOTE stands for Synthetic Minority Over-sampling Technique. It generates synthetic samples for the minority class to balance the dataset.
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