When should I use standardization in my data analysis?

When should I use standardization in my data analysis?

Standardization is useful when your data features have different scales. It helps to normalize the data.

Can you give me an example of when to standardize?

Sure! If you're working with height in centimeters and weight in kilograms, standardizing helps to compare them effectively.

What methods can I use to standardize my data?

Common methods include z-score normalization and min-max scaling. Z-score is often preferred for normally distributed data.

Are there any situations where I shouldn't standardize?

Yes, if your data is already on the same scale or if you're using algorithms that don't require it, like tree-based methods.