데이터 공부를 기록하는 공간

import numpy as np from sklearn import datasets from sklearn.linear_model import LogisticRegression from sklearn.pipeline import Pipeline, FeatureUnion from sklearn.decomposition import PCA from sklearn.preprocessing import StandardScaler from sklearn.model_selection import GridSearchCV np.random.seed(0) iris = datasets.load_iris() features = iris.data target = iris.target 1. PCA with FeatureUni..