Answers for "ridge regression python without sklearn"

scikit learn ridge regression

from sklearn.linear_model import Ridge
clf = Ridge(alpha=1.0)
clf.fit(X, y) #Fit Ridge regression model
clf.predict(y) #Predict using the model

ridge regression implementation python

from sklearn.linear_model import Ridge
X_train, X_test, y_train, y_test = train_test_split(X_crime, y_crime,
                                                   random_state = 0)

linridge = Ridge(alpha=20.0).fit(X_train, y_train)