ml-code-generator / datasets /sales_forecasting.csv
Surbhi
Feature extraction and model training
cedd211
month,advertising_budget,previous_sales,predicted_sales
37,10343,70,70
85,36592,34,52
24,7554,62,14
45,45374,98,2
65,46366,23,93
33,38456,49,78
88,7245,69,1
64,46254,83,39
97,24948,19,40
97,36125,40,87
68,38570,29,27
11,48020,78,32
56,3884,39,6
78,25152,47,32
64,29707,62,42
58,1176,57,47
93,43194,67,51
54,17634,73,62
35,38525,56,34
39,49812,59,48
34,42810,21,31
62,39142,9,5
75,7113,37,99
99,31683,81,47
5,33054,8,61
16,34601,61,58
41,47138,86,14
3,11910,74,70
44,22367,86,91
60,24249,61,85
8,27092,40,12
49,37741,91,23
20,7037,88,26
46,13960,59,18
15,4263,97,87
83,24095,52,6
39,7779,52,20
2,36053,68,20
84,48616,17,50
54,39595,24,8
81,25143,53,88
71,40104,94,63
72,24204,8,33
66,9619,92,64
40,8446,94,13
19,24093,8,74
9,26933,34,57
37,28457,28,67
67,10309,81,44
26,19780,36,12
39,8858,27,71
21,27132,1,28
83,2151,71,82
56,19477,99,91
94,40310,4,23
77,33123,46,82
36,23775,25,45
35,48346,57,89
43,14634,56,93
91,3134,86,69
14,6788,77,8
71,24996,93,81
47,44077,35,43
71,37569,87,84
35,30369,59,22
89,47464,50,37
38,34307,23,73
10,43003,93,55
35,21693,66,34
37,28388,48,88
46,6463,47,84
69,1726,31,36
56,21220,5,74
47,10137,1,82
23,42501,78,54
47,39434,96,10
72,15945,92,11
23,49629,9,49
56,49418,43,4
74,13257,80,38
9,26321,14,88
11,12735,54,73
86,34115,99,4
97,34148,25,13
48,21939,32,72
84,10109,95,5
95,23581,51,10
12,33685,48,75
82,8633,30,73
72,27209,82,10
92,34594,92,93
67,35010,88,58
99,14780,28,83
31,2004,35,79
51,7032,82,6
6,44292,74,63
75,2125,46,26
60,9142,17,50
24,27513,54,94
99,21189,15,13