qq_40102751的博客

简单应用from sklearn.preprocessing import StandardScaler, Normalizerfrom sklearn.decomposition import PCAfrom sklearn.svm import SVCfrom sklearn.pipeline import Pipeline#就是把几个数据处理的操作组装起来，按顺序走pl_svm = Pipeline([ ('normal',Normalizer()), #归一化 .

# 加载库import osimport tarfileimport pandas as pdfrom six.moves import urllib导入数据集DOWNLOAD_ROOT = "https://raw.githubusercontent.com/ageron/handson-ml/master/"HOUSING_PATH = os.path.join("datasets", "housing")HOUSING_URL = DOWNLOAD_ROOT + "datasets

python的基础项目音乐推送的决策树算法数据集一、建立决策树模型import pandas as pd from sklearn.tree import DecisionTreeClassifier # 决策树分类器from sklearn.model_selection import train_test_split #划分数据集函数from sklearn.metrics import accuracy_score#from sklearn.externals import j

转换器大部分机器学习算法都更容易和数字打交道，所以我们先将这些文本转化为数字。sklearn为这类任务提供了转换器。要转换的数据# 加载库import osimport tarfileimport pandas as pdfrom six.moves import urllibDOWNLOAD_ROOT = "https://raw.githubusercontent.com/ageron/handson-ml/master/"HOUSING_PATH = os.path.join("d