How do I handle outliers in my dataset?

How do I handle outliers in my dataset?

Handling outliers can be done through various methods like removal, transformation, or imputation. What approach are you considering?

I'm not sure. What are the pros and cons of removing outliers?

Removing outliers can simplify your analysis and improve model performance, but it may also lead to loss of valuable information. It's important to assess the context.

What if I want to keep them? How can I adjust my model?

If you want to keep outliers, consider using robust statistical methods or algorithms that are less sensitive to them, like tree-based models.

Can you give me an example of a robust method?

Sure! One common robust method is using the Median Absolute Deviation (MAD) for scaling your data, which is less affected by outliers.