SVM으로 얼굴 사진 분류하기¶ In [1]: import pandas as pd import numpy as np import matplotlib.pyplot as plt np.random.seed(2021) 1. Data¶ 1.1 Data Load¶ 데이터는 sklearn.datasets의 fetch_lfw_people로 받을 수 있습니다. In [2]: from sklearn.datasets import fetch_lfw_people faces = fetch_lfw_people(min_faces_per_person=70, resize=0.4) In [3]: data, target = faces["data"], faces["target"] 1.2 Data EDA¶ 이미지의 height와 width를 ..

Iris 데이터를 이용한 SVM 커널 실습¶ In [1]: import pandas as pd import numpy as np import matplotlib.pyplot as plt np.random.seed(2021) 1. Data¶ In [2]: from sklearn.datasets import load_iris iris = load_iris() data = iris.data target = iris.target In [3]: data = data[target !=0, :2] target = target[target !=0] In [4]: plt.scatter(data[:, 0], data[:, 1], c=target) Out[4]: In [5]: from sklearn.model_selecti..