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RSS订阅原创 决策树 随机森林
决策树 %matplotlib inline import matplotlib as plt import pandas as pd from sklearn.datasets import fetch_california_housing housing = fetch_california_housing() #加载数据 print(housing.DESCR) Data Set Characteristics: :Number of Instances: 20640 :Number of
2020-09-24 12:49:14
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原创 信用卡欺诈检测__下采样和过采样
数据：creditcard.csv import numpy as np import pandas as pd import matplotlib.pyplot as plt data = pd.read_csv('creditcard.csv') data.head() data.shape (284807, 31) data['Class'].value_counts() #.value_counts 分类计数，不同的变量值及其频数：两种用法①data['Class'].value_coun
2020-09-24 12:48:18
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原创 logistic regression完整代码演示
#logistics regression完整代码 #三大件 import numpy as np import pandas as pd import matplotlib.pyplot as plt #%matplotlib inline #数据读取 import os pdData = pd.read_table("LogiReg_data.txt", sep=",",header=None, names=['Exam 1', 'Exam 2', 'Admitted']) #pdData.head
2020-07-08 16:18:15
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