Prove you know scikit-learn. From the team that ships it.

from sklearn.model_selection import train_test_split

X_tr, X_te, y_tr, y_te = train_test_split(X, y)

from sklearn.linear_model import LogisticRegression

model = LogisticRegression()
model.fit(X_tr, y_tr)
score = model.score(X_te, y_te)

from sklearn.metrics import ConfusionMatrixDisplay

ConfusionMatrixDisplay.from_estimator(
    model, X_te, y_te,
).plot()

from sklearn.compose import ColumnTransformer
from sklearn.preprocessing import StandardScaler, OneHotEncoder

pre = ColumnTransformer([
  ("num", StandardScaler(), num_cols),
  ("cat", OneHotEncoder(), cat_cols),
])

from sklearn.model_selection import GridSearchCV
            grid = GridSearchCV(
              pipeline,
              param_grid={'C': [0.1, 1, 10]},
              cv=5,
            ).fit(X_tr, y_tr)