Which sklearn library is used for standardization?

The sklearn library used for standardization is the preprocessing library. Here's how you can use it:

1. First, you need to import the library. You can do this by adding the following line to your code:

from sklearn import preprocessing

2. Once you've imported the library, you can use the StandardScaler function to standardize your data. Here's an example:

scaler = preprocessing.StandardScaler()

3. After creating a scaler object, you can fit your data using the fit method and then transform it using the transform method. Here's how:

data = [[0, 0], [0, 0], [1, 1], [1, 1]] # This is an example. Replace it with your actual data.
scaler.fit(data)
standardized_data = scaler.transform(data)

In the above example, standardized_data will now be the standardized version of your original data.