Python数据挖掘—回归—神经网络

 1 import pandas;
 2 from pandas import read_csv;
 3 
 4 data = read_csv(
 5     "C:\\Users\\Jw\\Desktop\\python_work\\Python数据挖掘实战课程课件\\4.5\\data.csv", 
 6     encoding=‘utf8‘
 7 )
 8 data = data.dropna()
 9 
10 dummyColumns = [
11     ‘Gender‘, ‘Home Ownership‘, ‘Internet Connection‘, ‘Marital Status‘,
12     ‘Movie Selector‘, ‘Prerec Format‘, ‘TV Signal‘]
13 
14 for column in dummyColumns:
15     data[column]=data[column].astype(‘category‘)
16 
17 dummiesData = pandas.get_dummies(
18     data, 
19     columns=dummyColumns,
20     prefix=dummyColumns,
21     prefix_sep=" ",
22     drop_first=True
23 )
24 
25 """
26 博士后    Post-Doc
27 博士      Doctorate
28 硕士      Master‘s Degree
29 学士      Bachelor‘s Degree
30 副学士    Associate‘s Degree
31 专业院校  Some College
32 职业学校  Trade School
33 高中      High School
34 小学      Grade School
35 """
36 educationLevelDict = {
37     ‘Post-Doc‘: 9,
38     ‘Doctorate‘: 8,
39     ‘Master\‘s Degree‘: 7,
40     ‘Bachelor\‘s Degree‘: 6,
41     ‘Associate\‘s Degree‘: 5,
42     ‘Some College‘: 4,
43     ‘Trade School‘: 3,
44     ‘High School‘: 2,
45     ‘Grade School‘: 1
46 }
47 
48 dummiesData[‘Education Level Map‘] = dummiesData[‘Education Level‘].map(educationLevelDict)
49 
50 freqMap = {
51     ‘Never‘: 0,
52     ‘Rarely‘: 1,
53     ‘Monthly‘: 2,
54     ‘Weekly‘: 3,
55     ‘Daily‘: 4
56 }
57 dummiesData[‘PPV Freq Map‘] = dummiesData[‘PPV Freq‘].map(freqMap)
58 dummiesData[‘Theater Freq Map‘] = dummiesData[‘Theater Freq‘].map(freqMap)
59 dummiesData[‘TV Movie Freq Map‘] = dummiesData[‘TV Movie Freq‘].map(freqMap)
60 dummiesData[‘Prerec Buying Freq Map‘] = dummiesData[‘Prerec Buying Freq‘].map(freqMap)
61 dummiesData[‘Prerec Renting Freq Map‘] = dummiesData[‘Prerec Renting Freq‘].map(freqMap)
62 dummiesData[‘Prerec Viewing Freq Map‘] = dummiesData[‘Prerec Viewing Freq‘].map(freqMap)
63 
64 dummiesSelect = [
65     ‘Age‘, ‘Num Bathrooms‘, ‘Num Bedrooms‘, ‘Num Cars‘, ‘Num Children‘, ‘Num TVs‘, 
66     ‘Education Level Map‘, ‘PPV Freq Map‘, ‘Theater Freq Map‘, ‘TV Movie Freq Map‘, 
67     ‘Prerec Buying Freq Map‘, ‘Prerec Renting Freq Map‘, ‘Prerec Viewing Freq Map‘, 
68     ‘Gender Male‘,
69     ‘Internet Connection DSL‘, ‘Internet Connection Dial-Up‘, 
70     ‘Internet Connection IDSN‘, ‘Internet Connection No Internet Connection‘,
71     ‘Internet Connection Other‘, 
72     ‘Marital Status Married‘, ‘Marital Status Never Married‘, 
73     ‘Marital Status Other‘, ‘Marital Status Separated‘, 
74     ‘Movie Selector Me‘, ‘Movie Selector Other‘, ‘Movie Selector Spouse/Partner‘, 
75     ‘Prerec Format DVD‘, ‘Prerec Format Laserdisk‘, ‘Prerec Format Other‘, 
76     ‘Prerec Format VHS‘, ‘Prerec Format Video CD‘, 
77     ‘TV Signal Analog antennae‘, ‘TV Signal Cable‘, 
78     ‘TV Signal Digital Satellite‘, ‘TV Signal Don\‘t watch TV‘
79 ]
80 
81 inputData = dummiesData[dummiesSelect]
82 
83 outputData = dummiesData[[‘Home Ownership Rent‘]]