Syntax From sklearn.preprocessing import PolynomialFeatures from sklearn.linear_model import LinearRegression poly_features = PolynomialFeatures(degree=2) X_poly = poly_features.fit_transform(X_train) model = LinearRegression() model.fit(X_poly, y_train) 3. Ridge Regression Ridge regression is a r...
4. Why does Pseudo-Labeling work? The goal of any Semi-Supervised Learning algorithm is to use both the unlabeled and labeled samples to learn the underlying structure of the data. Pseudo-Labeling is able to do this by making two important assumptions: ...