What are normalization and standardization in data processing?

Can you explain the difference between normalization and standardization?

Sure! Normalization rescales data to a range of [0, 1], while standardization transforms data to have a mean of 0 and a standard deviation of 1.

Can you give me an example of normalization?

Absolutely! If you have a dataset with values ranging from 10 to 100, normalization would scale these values to a range between 0 and 1.

What about standardization? How does that work?

Standardization involves subtracting the mean from each data point and then dividing by the standard deviation, resulting in a dataset with a mean of 0.

When should I use normalization instead of standardization?

Use normalization when your data is bounded and you want to maintain the relationships between values. Use standardization when your data follows a Gaussian distribution.