scikit-learn offers the class. . . . . . . ., which is responsible for filling the holes using a strategy based on the mean, median, or frequency

The correct answer is D. Imputer.

Imputer is a class in scikit-learn that is responsible for filling the holes using a strategy based on the mean, median, or frequency. It can be used to fill missing values in a dataset.

LabelEncoder is a class in scikit-learn that is used to encode labels. It can be used to convert categorical data into numerical data.

LabelBinarizer is a class in scikit-learn that is used to binarize labels. It can be used to convert categorical data into binary data.

DictVectorizer is a class in scikit-learn that is used to vectorize a dictionary. It can be used to convert a dictionary of features into a vector of features.