How do I choose the right normalization technique for my data?

What factors should I consider when choosing a normalization technique?

You should consider the distribution of your data, the presence of outliers, and the specific requirements of your analysis.

Can you explain the difference between min-max scaling and z-score normalization?

Min-max scaling rescales the data to a fixed range, usually [0, 1], while z-score normalization standardizes the data based on its mean and standard deviation.

When is it better to use z-score normalization?

Z-score normalization is better when your data follows a Gaussian distribution and you want to handle outliers effectively.

Are there any situations where normalization is not necessary?

Yes, normalization may not be necessary if your data is already on a similar scale or if you're using algorithms that are invariant to feature scaling.