Logistic Regression, Random Forest, Neural Networks, Image Processing, Computer Vision.
weights across different dimensions, data compression might not yield satisfactory results. def LogisticRegression_PCA(df): X_train_std, X_test_std, y_train, y_test = scaling(df) pca = PCA(n_components= 2) X_train_PCA = pca.fit_transform(X_train_std) X_test_PCA = pca.transform(X_test_std) log_r1 =