numpy 1~50 문제 연습
데이터 분석 입문자를 위한 파이썬 판다스 300제numpy 1~50 문제 연습https://wikidocs.net/book/4852# -*- coding: utf-8 -*-"""numpy1-50.ipynbAutomatically generated by Colab."""import numpy as npdata = [1,2,3]np_data = np.array(data)print(np_data)np_array = np.arange(0,100)np_arraynp_array = np.arange(3, 30, 3)np_arraynp_array = np.arange(0, 1000, 2)np_arraynp_array = np.arange(0, 1, 0.1)np_arraydata = [0, 1, 2, 3, 4, 5]n..
FDA 정리 및 코드 구현
Fisher Discriminant Analysis (FDA)import numpy as npimport matplotlib.pyplot as plt%matplotlib inline# generating data set n0 = 200 n1 = 200 sigma = \[\[0.9, -0.4\], \[-0.4, 0.3\]\]np.random.seed(0)x0 = np.random.multivariate\_normal(\[2.5,2.5\], sigma, n0) # data in class 0x1 = np.random.multivariate\_normal(\[1,1\], sigma, n1) # data in class 1print(x0.shape)print(x1.shape)(200, 2..