AI, Dimensionality Reduction, Machine Learning, Python, Data Science.
make_classification from sklearn.preprocessing import StandardScaler # Generate a sample dataset X, y = make_classification(n_samples=1000, n_features=20, n_classes=2, random_state=42) # Split the data into training and test sets X_train, X_test, y_train, y_test = train_test_split(X, y,