静水流深

#############K-means-鸢尾花聚类############ from sklearn.datasets import load_iris import matplotlib.pyplot as plt import numpy as np from sklearn.cluster import KMeans from sklearn.metrics import silhouette_score # 轮廓系数 # 导入数据 iris = load_iris() X = iris..

# 1. 导包 import pandas as pd from sklearn.feature_extraction import DictVectorizer from sklearn.model_selection import train_test_split from sklearn.tree import DecisionTreeClassifier, export_graphviz import graphviz # 作图的库需要安装python-graphviz # 决策树对泰坦尼克号.

# K-近邻预测用户签到位置 # 导入所需packages import pandas as pd from sklearn.model_selection import train_test_split from sklearn.preprocessing import StandardScaler from sklearn.neighbors import KNeighborsClassifier # 一、读取数据 data = pd.read_csv("C:/Users/Cong Ma/Desk.

import pandas as pd # 导入csv数据 import numpy as np # 缺失值处理 from sklearn.model_selection import train_test_split # 数据分割 from sklearn.preprocessing import StandardScaler # 标准化 from sklearn.linear_model import LogisticRegression from sklearn.metrics import.

# ps:最好每次都固定训练集和测试集（此处未固定，每次训练集和测试集分割有所不同） from sklearn.datasets import load_boston from sklearn.linear_model import LinearRegression,SGDRegressor,Ridge from sklearn.model_selection import train_test_split from sklearn.preprocessing import StandardScaler .