摘要：
import numpy as np L = np.random.random(100) L array([0.14707817, 0.51538313, 0.50141282, 0.63780797, 0.51842999, 0.89482605, 0.24431981, 0.43637874, 阅读全文
摘要：
numpy.array中的计算 给定一个向量，让向量中的 数乘以2 a = (0, 1, 2), a * 2 = （0， 2 ，4） n = 10 L = [i for i in range(n)] L [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] # 直接用L*2得到的结果是两个L 阅读全文
摘要：
import numpy as np import matplotlib.pyplot as plt from sklearn import datasets boston_data = datasets.load_boston() X = boston_data.data y = boston_d 阅读全文
摘要：
import numpy as np from sklearn import datasets digits = datasets.load_digits() X = digits.data y = digits.target from sklearn.model_selection import 阅读全文
摘要：
import numpy as np import matplotlib.pyplot as plt from sklearn import datasets boston_data = datasets.load_boston() X = boston_data.data y = boston_d 阅读全文