TV,radio,newspaper,sales
1,230.1,37.8,69.2,22.1
2,44.5,39.3,45.1,10.4
3,17.2,45.9,69.3,9.3
4,151.5,41.3,58.5,18.5
5,180.8,10.8,58.4,12.9
6,8.7,48.9,75,7.2
7,57.5,32.8,23.5,11.8
8,120.2,19.6,11.6,13.2
9,8.6,2.1,1,4.8
10,199.8,2.6,21.2,10.6
11,66.1,5.8,24.2,8.6
12,214.7,24,4,17.4
13,23.8,35.1,65.9,9.2
14,97.5,7.6,7.2,9.7
15,204.1,32.9,46,19
16,195.4,47.7,52.9,22.4
17,67.8,36.6,114,12.5
18,281.4,39.6,55.8,24.4
19,69.2,20.5,18.3,11.3
20,147.3,23.9,19.1,14.6
21,218.4,27.7,53.4,18
22,237.4,5.1,23.5,12.5
23,13.2,15.9,49.6,5.6
24,228.3,16.9,26.2,15.5
25,62.3,12.6,18.3,9.7
26,262.9,3.5,19.5,12
27,142.9,29.3,12.6,15
28,240.1,16.7,22.9,15.9
29,248.8,27.1,22.9,18.9
30,70.6,16,40.8,10.5
31,292.9,28.3,43.2,21.4
32,112.9,17.4,38.6,11.9
33,97.2,1.5,30,9.6
34,265.6,20,0.3,17.4
35,95.7,1.4,7.4,9.5
36,290.7,4.1,8.5,12.8
37,266.9,43.8,5,25.4
38,74.7,49.4,45.7,14.7
39,43.1,26.7,35.1,10.1
40,228,37.7,32,21.5
41,202.5,22.3,31.6,16.6
42,177,33.4,38.7,17.1
43,293.6,27.7,1.8,20.7
44,206.9,8.4,26.4,12.9
45,25.1,25.7,43.3,8.5
46,175.1,22.5,31.5,14.9
47,89.7,9.9,35.7,10.6
48,239.9,41.5,18.5,23.2
49,227.2,15.8,49.9,14.8
50,66.9,11.7,36.8,9.7
51,199.8,3.1,34.6,11.4
52,100.4,9.6,3.6,10.7
53,216.4,41.7,39.6,22.6
54,182.6,46.2,58.7,21.2
55,262.7,28.8,15.9,20.2
56,198.9,49.4,60,23.7
57,7.3,28.1,41.4,5.5
58,136.2,19.2,16.6,13.2
59,210.8,49.6,37.7,23.8
60,210.7,29.5,9.3,18.4
61,53.5,2,21.4,8.1
62,261.3,42.7,54.7,24.2
63,239.3,15.5,27.3,15.7
64,102.7,29.6,8.4,14
65,131.1,42.8,28.9,18
66,69,9.3,0.9,9.3
67,31.5,24.6,2.2,9.5
68,139.3,14.5,10.2,13.4
69,237.4,27.5,11,18.9
70,216.8,43.9,27.2,22.3
71,199.1,30.6,38.7,18.3
72,109.8,14.3,31.7,12.4
73,26.8,33,19.3,8.8
74,129.4,5.7,31.3,11
75,213.4,24.6,13.1,17
76,16.9,43.7,89.4,8.7
77,27.5,1.6,20.7,6.9
78,120.5,28.5,14.2,14.2
79,5.4,29.9,9.4,5.3
80,116,7.7,23.1,11
81,76.4,26.7,22.3,11.8
82,239.8,4.1,36.9,12.3
83,75.3,20.3,32.5,11.3
84,68.4,44.5,35.6,13.6
85,213.5,43,33.8,21.7
86,193.2,18.4,65.7,15.2
87,76.3,27.5,16,12
88,110.7,40.6,63.2,16
89,88.3,25.5,73.4,12.9
90,109.8,47.8,51.4,16.7
91,134.3,4.9,9.3,11.2
92,28.6,1.5,33,7.3
93,217.7,33.5,59,19.4
94,250.9,36.5,72.3,22.2
95,107.4,14,10.9,11.5
96,163.3,31.6,52.9,16.9
97,197.6,3.5,5.9,11.7
98,184.9,21,22,15.5
99,289.7,42.3,51.2,25.4
100,135.2,41.7,45.9,17.2
101,222.4,4.3,49.8,11.7
102,296.4,36.3,100.9,23.8
103,280.2,10.1,21.4,14.8
104,187.9,17.2,17.9,14.7
105,238.2,34.3,5.3,20.7
106,137.9,46.4,59,19.2
107,25,11,29.7,7.2
108,90.4,0.3,23.2,8.7
109,13.1,0.4,25.6,5.3
110,255.4,26.9,5.5,19.8
111,225.8,8.2,56.5,13.4
112,241.7,38,23.2,21.8
113,175.7,15.4,2.4,14.1
114,209.6,20.6,10.7,15.9
115,78.2,46.8,34.5,14.6
116,75.1,35,52.7,12.6
117,139.2,14.3,25.6,12.2
118,76.4,0.8,14.8,9.4
119,125.7,36.9,79.2,15.9
120,19.4,16,22.3,6.6
121,141.3,26.8,46.2,15.5
122,18.8,21.7,50.4,7
123,224,2.4,15.6,11.6
124,123.1,34.6,12.4,15.2
125,229.5,32.3,74.2,19.7
126,87.2,11.8,25.9,10.6
127,7.8,38.9,50.6,6.6
128,80.2,0,9.2,8.8
129,220.3,49,3.2,24.7
130,59.6,12,43.1,9.7
131,0.7,39.6,8.7,1.6
132,265.2,2.9,43,12.7
133,8.4,27.2,2.1,5.7
134,219.8,33.5,45.1,19.6
135,36.9,38.6,65.6,10.8
136,48.3,47,8.5,11.6
137,25.6,39,9.3,9.5
138,273.7,28.9,59.7,20.8
139,43,25.9,20.5,9.6
140,184.9,43.9,1.7,20.7
141,73.4,17,12.9,10.9
142,193.7,35.4,75.6,19.2
143,220.5,33.2,37.9,20.1
144,104.6,5.7,34.4,10.4
145,96.2,14.8,38.9,11.4
146,140.3,1.9,9,10.3
147,240.1,7.3,8.7,13.2
148,243.2,49,44.3,25.4
149,38,40.3,11.9,10.9
150,44.7,25.8,20.6,10.1
151,280.7,13.9,37,16.1
152,121,8.4,48.7,11.6
153,197.6,23.3,14.2,16.6
154,171.3,39.7,37.7,19
155,187.8,21.1,9.5,15.6
156,4.1,11.6,5.7,3.2
157,93.9,43.5,50.5,15.3
158,149.8,1.3,24.3,10.1
159,11.7,36.9,45.2,7.3
160,131.7,18.4,34.6,12.9
161,172.5,18.1,30.7,14.4
162,85.7,35.8,49.3,13.3
163,188.4,18.1,25.6,14.9
164,163.5,36.8,7.4,18
165,117.2,14.7,5.4,11.9
166,234.5,3.4,84.8,11.9
167,17.9,37.6,21.6,8
168,206.8,5.2,19.4,12.2
169,215.4,23.6,57.6,17.1
170,284.3,10.6,6.4,15
171,50,11.6,18.4,8.4
172,164.5,20.9,47.4,14.5
173,19.6,20.1,17,7.6
174,168.4,7.1,12.8,11.7
175,222.4,3.4,13.1,11.5
176,276.9,48.9,41.8,27
177,248.4,30.2,20.3,20.2
178,170.2,7.8,35.2,11.7
179,276.7,2.3,23.7,11.8
180,165.6,10,17.6,12.6
181,156.6,2.6,8.3,10.5
182,218.5,5.4,27.4,12.2
183,56.2,5.7,29.7,8.7
184,287.6,43,71.8,26.2
185,253.8,21.3,30,17.6
186,205,45.1,19.6,22.6
187,139.5,2.1,26.6,10.3
188,191.1,28.7,18.2,17.3
189,286,13.9,3.7,15.9
190,18.7,12.1,23.4,6.7
191,39.5,41.1,5.8,10.8
192,75.5,10.8,6,9.9
193,17.2,4.1,31.6,5.9
194,166.8,42,3.6,19.6
195,149.7,35.6,6,17.3
196,38.2,3.7,13.8,7.6
197,94.2,4.9,8.1,9.7
198,177,9.3,6.4,12.8
199,283.6,42,66.2,25.5
200,232.1,8.6,8.7,13.4

Advertising.csv的更多相关文章

  1. 【scikit-learn】scikit-learn的线性回归模型

     内容概要 怎样使用pandas读入数据 怎样使用seaborn进行数据的可视化 scikit-learn的线性回归模型和用法 线性回归模型的评估測度 特征选择的方法 作为有监督学习,分类问题是预 ...

  2. python中读取文件数据时要注意文件路径

    我们在用python进行数据处理时往往需要将文件中的数据取出来做一些处理,这时我们应该注意数据文件的路径.文件路径不对,回报如下错误: FileNotFoundError: File b'..Adve ...

  3. 机器学习——交叉验证，GridSearchCV，岭回归

    0.交叉验证 交叉验证的基本思想是把在某种意义下将原始数据(dataset)进行分组,一部分做为训练集(train set),另一部分做为验证集(validation set or test set) ...

  4. Python数据挖掘

    Python之所以如此流行,原因在于它的数据分析和挖掘方面表现出的高性能,而我们前面介绍的Python大都集中在各个子功能(如科学计算.矢量计算.可视化等),其目的在于引出最终的数据分析和数据挖掘功能 ...

  5. JavaScript机器学习之线性回归

    译者按: AI时代,不会机器学习的JavaScript开发者不是好的前端工程师. 原文: Machine Learning with JavaScript : Part 1 译者: Fundebug ...

  6. Sklearn线性回归

    Sklearn线性回归 原理 线性回归是最为简单而经典的回归模型,用了最小二乘法的思想,用一个n-1维的超平面拟合n维数据 数学形式 \[y(w,x)=w_0+w_1x_1+w_2x_2+-+w_nx ...

  7. pandas读取文件报错

    path = 'D:/Postgraduate/Python/Machine Learning/小象学院机器学习/08.回归实践/8.Regression代码/8.Regression/8.Adver ...

  8. scikit-learn的线性回归模型

    来自 http://blog.csdn.net/jasonding1354/article/details/46340729 内容概要 如何使用pandas读入数据 如何使用seaborn进行数据的可 ...

  9. sklearn实践_普通线性回归

    import pandas as pd import numpy as np import matplotlib.pyplot as plt data = pd.read_csv(r"C:\ ...

随机推荐

  1. Nginx 返回响应过滤响应内容

    陶辉94课 过滤模块 从下到上顺序 ngx_http_proxy_module 模块 Syntax: proxy_ignore_headers field ...; Default: — Contex ...

  2. IntelliJ IDEA 导航的 20 大特性

    本文由 ImportNew - elviskang 翻译自 dzone.欢迎加入翻译小组.转载请见文末要求. 在前面的文章里,我介绍了IntelliJ IDEA(以下称IntelliJ)中与代码补全及 ...

  3. 【妙味课堂】JS热身课后习题

    <!--*** @Author: wyy* @Date: 2018-04-15 17:36:35* @Email: 2752154874@qq.com* @Last Modified by: w ...

  4. 【BZOJ3809】Gty的二逼妹子序列 莫队 分块

    题目描述 给你一个长度为\(n\)的数列,还有\(m\)个询问,对于每个询问\((l,r,a,b)\),输出区间\([l,r]\)有多少范围在\([a,b]\)的权值. \(n\leq 100000, ...

  5. Error fetching command 'collectstatic': You're using the staticfiles app without having set the STATIC_ROOT setting to a filesystem path. Command 'collectstatic' skipped

    报错现象 报错解决 在 settings.py 中添加这一句话则可以解决 STATIC_ROOT = os.path.join(BASE_DIR, 'static') 测试不在有问题

  6. TP5调用微信JSSDK 教程 —— 之异步使用

    细节请参考前一篇文章:JSSDK.PHP 修改下: <?php namespace jssdk; class Jssdk { private $appId; private $appSecret ...

  7. Before NOIP 2018

    目录 总结 刷题 2018 - 9 - 24 2018 - 9 - 25 2018 - 9 - 26 2018 - 9 - 27 2018 - 9 - 28 2018 - 9 - 29 2018 - ...

  8. 栈长这里是生成了一个 Maven 示例项目。

    Spring Cloud 的注册中心可以由 Eureka.Consul.Zookeeper.ETCD 等来实现,这里推荐使用 Spring Cloud Eureka 来实现注册中心,它基于 Netfl ...

  9. module_loader.py

    # few functions that make it possible to import functions # from jupyter notebooks as from modules; ...

  10. CCCC 喊山

    2016年天梯赛模拟&初赛题集(nwu) 编程题30小题,共计580分 580分 编程题 5-14 喊山   (30分) 喊山,是人双手围在嘴边成喇叭状,对着远方高山发出“喂—喂喂—喂喂喂…… ...