When should I normalize my data?

When should I normalize my data?

Normalizing data is important when features have different scales. It helps improve model performance.

Can you give me an example of when normalization is necessary?

Sure! If you have features like age (0-100) and income (0-100,000), normalization helps treat them equally.

What methods can I use to normalize my data?

Common methods include Min-Max scaling and Z-score normalization. Each has its use cases depending on your data.

Are there situations where I shouldn't normalize my data?

Yes, if your data is already on a similar scale or if you're using tree-based models, normalization may not be necessary.