Data Analysis and Machine Learning: Logistic Regression

The Credit Card example

Here we use the the credit card data. The data are from an extensive database from Taiwan and include more than ten predictors.

For categorical data -Scikit-Learn- provides a so-called one-hot encoder. This is called one-hot encoding, because only one attribute will be equal to 1 (hot), while the others will be 0 (cold). Scikit-Learn provides a OneHotEncoder encoder to convert integer categorical values into one-hot

from sklearn.preprocessing import OneHotEncoder
encoder = OneHotEncoder()