from sklearn.compose import ColumnTransformer from sklearn.preprocessing import StandardScaler, OneHotEncoder, OrdinalEncoder from sklearn.pipeline import Pipeline from sklearn.model_selection import train_test_split from sklearn.linear_model import LogisticRegression from sklearn.metrics import classification_report, confusion_matrix import pandas as pd import numpy as np # Selecting numerical columns numerical_cols = data[[‘MonthlyCharges’, ‘TotalCharges’, ‘tenure’]].to_numpy() # Selecting an ordinal column ordinal_cols = data[[‘Contract’]].to_numpy() # Selecting categorical […]