摘要： from sklearn.datasets import load_boston boston = load_boston() boston.keys() print(boston.DESCR) boston.data.shape boston.feature_names import pandas as pd df = pd.DataFrame(boston.data) df [12]... 阅读全文

摘要： import nltk from nltk.corpus import stopwords from nltk.stem import WordNetLemmatizer import csv import numpy as np from sklearn.model_selection import train_test_split from sklearn.feature_extractio... 阅读全文

摘要： 150 6 150 7 150 100 Accuracy:0.333 Accuracy:0.953 阅读全文

摘要： from sklearn.datasets import load_iris iris = load_iris() iris.data[55] iris.target[55] from sklearn.naive_bayes import GaussianNB gnb = GaussianNB() #模型 gnb.fit(iris.data,iris.target) #训练 gnb.pred... 阅读全文

摘要： from sklearn.datasets import load_sample_image from sklearn.cluster import KMeans import matplotlib.pyplot as plt import numpy as np china = load_sample_image("china.jpg")#读取图片 plt.imshow(china) plt... 阅读全文

摘要： import numpy as np from sklearn.datasets import load_iris iris = load_iris() x=iris.data[:,1] y=np.zeros(150) k=3 def initcent(x,k): return x[0:k].reshape(k) def nearest(kc,i):#数组中的值，与聚类中心最小距离所... 阅读全文

摘要： import numpy as np from sklearn.datasets import load_iris data = load_iris() pental_len = data.data[:, 2] # 计算鸢尾花花瓣长度的最大值，平均值，中值，均方差 print("最大值：", np.max(pental_len)) print("平均值：", np.mean(pental_l... 阅读全文

摘要： import numpy from sklearn.datasets import load_iris data = load_iris() #查看data类型，包含哪些数据 C:\Users\Administrator\PycharmProjects\untitled1\venv\Scripts\python.exe C:/Users/Administrator/PycharmProject... 阅读全文

摘要： #用列表+循环实现，并包装成函数 def pySum(n): a = list(range(10)) b = list(range(0, 50, 5)) c = [] for i in range(len(a)): c.append(a[i] ** 2 + b[i] ** 3) return(c) print(pySum(10)) #... 阅读全文

摘要： strBig ='''Big Big World Emilia I'm a big big girl In a big big world It's not a big big thing if you leave me But I do do feel that I too too will miss you much Miss you much. I can see t... 阅读全文