Logistic Regression, Random Forest, Neural Networks, Image Processing, Computer Vision.
investigates its impact on prediction. def LDA(df): X_train_std, X_test_std, y_train, y_test = scaling(df) n_components = min(X_train_std.shape[1], len(np.unique(y_train))) - 1 lda = LinearDiscriminantAnalysis(n_components=n_components) X_train_LDA = lda.fit_transform(X_train_std, y_train)