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点头人工智能课程-v6.0-通识
Commit d1de4050 by Leo
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4-机器学习/4.5-机器学习进阶算法/XGBOOST/EDA_data.ipynb 0 → 100644
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4-机器学习/4.5-机器学习进阶算法/XGBOOST/catboost_info/learn_error.tsv 0 → 100644
iter RMSE
iter RMSE
0 0.5269122776
1 0.3037087073
2 0.1950262882
3 0.1455510767
4 0.1250769505
5 0.1131018732
6 0.107407016
7 0.09973660288
8 0.09381675834
9 0.09130733187
10 0.08712161792
11 0.0845612591
12 0.08242362115
13 0.08054774192
14 0.07924539543
15 0.07756089132
16 0.07629210431
17 0.07542179795
18 0.07471800468
19 0.07375636509
20 0.07290380495
21 0.0717506203
22 0.07101231401
23 0.07061380981
24 0.07027840804
25 0.06959717778
26 0.0691011102
27 0.06843501946
28 0.06800722655
29 0.06742215124
30 0.06707591325
31 0.0667961969
32 0.06645051743
33 0.06591859909
34 0.06564438428
35 0.06539152136
36 0.06526705862
37 0.06502670379
38 0.0648714568
39 0.06465262699
40 0.06449962938
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4-机器学习/4.5-机器学习进阶算法/XGBOOST/catboost_info/test_error.tsv 0 → 100644
iter RMSE
iter RMSE
0 0.525777829
1 0.3031489461
2 0.1943740156
3 0.1451027326
4 0.124754842
5 0.1127568058
6 0.1070870071
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4-机器学习/4.5-机器学习进阶算法/XGBOOST/catboost_info/time_left.tsv 0 → 100644
iter Passed Remaining
iter Passed Remaining
0 62 6170
1 120 5894
2 175 5666
3 236 5667
4 298 5672
5 355 5576
6 417 5547
7 477 5487
8 525 5312
9 576 5189
10 633 5127
11 693 5085
12 757 5068
13 813 4999
14 862 4886
15 931 4890
16 993 4849
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18 1091 4653
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20 1214 4569
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22 1323 4430
23 1368 4333
24 1421 4263
25 1484 4225
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27 1597 4106
28 1644 4026
29 1701 3970
30 1761 3920
31 1821 3871
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33 1941 3769
34 1990 3696
35 2048 3641
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39 2257 3386
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41 2375 3281
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48 2761 2874
49 2818 2818
50 2867 2755
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54 3072 2514
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56 3174 2394
57 3222 2333
58 3266 2269
59 3320 2213
60 3384 2164
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62 3471 2038
63 3515 1977
64 3586 1931
65 3630 1870
66 3695 1820
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68 3803 1708
69 3862 1655
70 3916 1599
71 3966 1542
72 4022 1487
73 4074 1431
74 4133 1377
75 4185 1321
76 4241 1266
77 4294 1211
78 4348 1155
79 4406 1101
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81 4515 991
82 4562 934
83 4612 878
84 4660 822
85 4706 766
86 4754 710
87 4806 655
88 4865 601
89 4914 546
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91 5028 437
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96 5311 164
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98 5415 54
99 5467 0
4-机器学习/4.5-机器学习进阶算法/XGBOOST/datas/test.csv 0 → 100644
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4-机器学习/4.5-机器学习进阶算法/XGBOOST/datas/train.csv 0 → 100644
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4-机器学习/4.6-聚类与降维技术/K-Means_PCA/Clustering.ipynb 0 → 100644
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4-机器学习/4.6-聚类与降维技术/K-Means_PCA/EDA-LR-PCA.ipynb 0 → 100644
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4-机器学习/4.6-聚类与降维技术/K-Means_PCA/Mall_Customers.csv 0 → 100644
CustomerID,Gender,Age,Annual Income (k$),Spending Score (1-100)
CustomerID,Gender,Age,Annual Income (k$),Spending Score (1-100)
1,Male,19,15,39
2,Male,21,15,81
3,Female,20,16,6
4,Female,23,16,77
5,Female,31,17,40
6,Female,22,17,76
7,Female,35,18,6
8,Female,23,18,94
9,Male,64,19,3
10,Female,30,19,72
11,Male,67,19,14
12,Female,35,19,99
13,Female,58,20,15
14,Female,24,20,77
15,Male,37,20,13
16,Male,22,20,79
17,Female,35,21,35
18,Male,20,21,66
19,Male,52,23,29
20,Female,35,23,98
21,Male,35,24,35
22,Male,25,24,73
23,Female,46,25,5
24,Male,31,25,73
25,Female,54,28,14
26,Male,29,28,82
27,Female,45,28,32
28,Male,35,28,61
29,Female,40,29,31
30,Female,23,29,87
31,Male,60,30,4
32,Female,21,30,73
33,Male,53,33,4
34,Male,18,33,92
35,Female,49,33,14
36,Female,21,33,81
37,Female,42,34,17
38,Female,30,34,73
39,Female,36,37,26
40,Female,20,37,75
41,Female,65,38,35
42,Male,24,38,92
43,Male,48,39,36
44,Female,31,39,61
45,Female,49,39,28
46,Female,24,39,65
47,Female,50,40,55
48,Female,27,40,47
49,Female,29,40,42
50,Female,31,40,42
51,Female,49,42,52
52,Male,33,42,60
53,Female,31,43,54
54,Male,59,43,60
55,Female,50,43,45
56,Male,47,43,41
57,Female,51,44,50
58,Male,69,44,46
59,Female,27,46,51
60,Male,53,46,46
61,Male,70,46,56
62,Male,19,46,55
63,Female,67,47,52
64,Female,54,47,59
65,Male,63,48,51
66,Male,18,48,59
67,Female,43,48,50
68,Female,68,48,48
69,Male,19,48,59
70,Female,32,48,47
71,Male,70,49,55
72,Female,47,49,42
73,Female,60,50,49
74,Female,60,50,56
75,Male,59,54,47
76,Male,26,54,54
77,Female,45,54,53
78,Male,40,54,48
79,Female,23,54,52
80,Female,49,54,42
81,Male,57,54,51
82,Male,38,54,55
83,Male,67,54,41
84,Female,46,54,44
85,Female,21,54,57
86,Male,48,54,46
87,Female,55,57,58
88,Female,22,57,55
89,Female,34,58,60
90,Female,50,58,46
91,Female,68,59,55
92,Male,18,59,41
93,Male,48,60,49
94,Female,40,60,40
95,Female,32,60,42
96,Male,24,60,52
97,Female,47,60,47
98,Female,27,60,50
99,Male,48,61,42
100,Male,20,61,49
101,Female,23,62,41
102,Female,49,62,48
103,Male,67,62,59
104,Male,26,62,55
105,Male,49,62,56
106,Female,21,62,42
107,Female,66,63,50
108,Male,54,63,46
109,Male,68,63,43
110,Male,66,63,48
111,Male,65,63,52
112,Female,19,63,54
113,Female,38,64,42
114,Male,19,64,46
115,Female,18,65,48
116,Female,19,65,50
117,Female,63,65,43
118,Female,49,65,59
119,Female,51,67,43
120,Female,50,67,57
121,Male,27,67,56
122,Female,38,67,40
123,Female,40,69,58
124,Male,39,69,91
125,Female,23,70,29
126,Female,31,70,77
127,Male,43,71,35
128,Male,40,71,95
129,Male,59,71,11
130,Male,38,71,75
131,Male,47,71,9
132,Male,39,71,75
133,Female,25,72,34
134,Female,31,72,71
135,Male,20,73,5
136,Female,29,73,88
137,Female,44,73,7
138,Male,32,73,73
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140,Female,35,74,72
141,Female,57,75,5
142,Male,32,75,93
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145,Male,25,77,12
146,Male,28,77,97
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148,Female,32,77,74
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150,Male,34,78,90
151,Male,43,78,17
152,Male,39,78,88
153,Female,44,78,20
154,Female,38,78,76
155,Female,47,78,16
156,Female,27,78,89
157,Male,37,78,1
158,Female,30,78,78
159,Male,34,78,1
160,Female,30,78,73
161,Female,56,79,35
162,Female,29,79,83
163,Male,19,81,5
164,Female,31,81,93
165,Male,50,85,26
166,Female,36,85,75
167,Male,42,86,20
168,Female,33,86,95
169,Female,36,87,27
170,Male,32,87,63
171,Male,40,87,13
172,Male,28,87,75
173,Male,36,87,10
174,Male,36,87,92
175,Female,52,88,13
176,Female,30,88,86
177,Male,58,88,15
178,Male,27,88,69
179,Male,59,93,14
180,Male,35,93,90
181,Female,37,97,32
182,Female,32,97,86
183,Male,46,98,15
184,Female,29,98,88
185,Female,41,99,39
186,Male,30,99,97
187,Female,54,101,24
188,Male,28,101,68
189,Female,41,103,17
190,Female,36,103,85
191,Female,34,103,23
192,Female,32,103,69
193,Male,33,113,8
194,Female,38,113,91
195,Female,47,120,16
196,Female,35,120,79
197,Female,45,126,28
198,Male,32,126,74
199,Male,32,137,18
200,Male,30,137,83
4-机器学习/4.6-聚类与降维技术/K-Means_PCA/adult.csv 0 → 100644
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