Notebooks Coverage#
Report on last executions.
78% 2023-03-19

index |
coverage |
exe time |
last execution |
name |
title |
success |
time |
nb cells |
nb runs |
nb valid |
---|---|---|---|---|---|---|---|---|---|---|
0 |
100% |
23.134 |
2023-03-18 |
1A.1 - Liste, tuple, ensemble, dictionnaire, liste chaînée, coût des opérations |
True |
27.197 |
4 |
4 |
4 |
|
1 |
100% |
9.833 |
2023-03-18 |
True |
13.861 |
12 |
12 |
12 |
||
2 |
100% |
12.399 |
2023-03-18 |
True |
16.475 |
23 |
23 |
23 |
||
3 |
100% |
0.581 |
2023-03-18 |
1A.algo - Calculer le nombre de façons de monter une échelle. |
True |
4.599 |
6 |
6 |
6 |
|
4 |
100% |
2.113 |
2023-03-18 |
True |
6.181 |
16 |
16 |
16 |
||
5 |
100% |
5.000 |
2023-03-18 |
True |
9.052 |
15 |
15 |
15 |
||
6 |
100% |
0.352 |
2023-03-18 |
True |
4.658 |
4 |
4 |
4 |
||
7 |
100% |
0.878 |
2023-03-18 |
True |
4.891 |
8 |
8 |
8 |
||
8 |
100% |
71.256 |
2023-03-18 |
True |
75.334 |
15 |
15 |
15 |
||
9 |
100% |
54.532 |
2023-03-18 |
True |
58.581 |
10 |
10 |
10 |
||
10 |
100% |
13.196 |
2023-03-18 |
True |
17.216 |
11 |
11 |
11 |
||
11 |
100% |
0.939 |
2023-03-18 |
True |
4.983 |
9 |
9 |
9 |
||
12 |
100% |
5.230 |
2023-03-18 |
True |
9.389 |
29 |
29 |
29 |
||
13 |
100% |
2.213 |
2023-03-18 |
True |
6.256 |
8 |
8 |
8 |
||
14 |
100% |
83.920 |
2023-03-18 |
True |
87.996 |
17 |
17 |
17 |
||
15 |
100% |
369.495 |
2023-03-05 |
True |
373.691 |
28 |
28 |
28 |
||
16 |
100% |
13.864 |
2023-02-25 |
True |
16.903 |
16 |
16 |
16 |
||
17 |
100% |
10.496 |
2023-02-25 |
True |
13.586 |
26 |
26 |
26 |
||
18 |
100% |
68.092 |
2023-02-25 |
True |
71.319 |
22 |
22 |
22 |
||
19 |
100% |
28.356 |
2023-03-18 |
True |
32.453 |
20 |
20 |
20 |
||
20 |
0% |
nan |
nan |
60 |
0 |
|||||
21 |
89% |
2.944 |
2023-03-18 |
True |
7.045 |
28 |
25 |
25 |
||
22 |
100% |
9.150 |
2023-03-18 |
True |
13.262 |
29 |
29 |
29 |
||
23 |
100% |
7.689 |
2023-03-18 |
True |
11.730 |
21 |
21 |
21 |
||
24 |
100% |
0.986 |
2023-03-18 |
True |
5.035 |
11 |
11 |
11 |
||
25 |
100% |
15.089 |
2023-03-18 |
True |
19.188 |
20 |
20 |
20 |
||
26 |
100% |
198.258 |
2023-03-18 |
True |
202.359 |
19 |
19 |
19 |
||
27 |
100% |
17.092 |
2023-03-18 |
True |
21.389 |
19 |
19 |
19 |
||
28 |
100% |
195.184 |
2023-03-05 |
True |
199.523 |
92 |
92 |
92 |
||
29 |
100% |
4.672 |
2023-03-18 |
True |
8.745 |
15 |
15 |
15 |
||
30 |
100% |
8.039 |
2023-03-18 |
True |
12.154 |
23 |
23 |
23 |
||
31 |
100% |
1.694 |
2023-03-18 |
True |
5.723 |
5 |
5 |
5 |
||
32 |
100% |
25.684 |
2023-03-18 |
True |
29.811 |
28 |
28 |
28 |
||
33 |
100% |
6.626 |
2023-03-18 |
True |
10.690 |
8 |
8 |
8 |
||
34 |
0% |
nan |
2A.i - Données non structurées, programmation fonctionnelle : dask |
nan |
28 |
0 |
||||
35 |
0% |
nan |
nan |
46 |
0 |
|||||
36 |
0% |
nan |
nan |
78 |
0 |
|||||
37 |
100% |
60.854 |
2023-03-18 |
True |
64.968 |
27 |
27 |
27 |
||
38 |
100% |
2086.567 |
2023-03-05 |
True |
2092.597 |
21 |
21 |
21 |
||
39 |
100% |
24.294 |
2023-03-05 |
True |
28.633 |
14 |
14 |
14 |
||
40 |
100% |
1.208 |
2023-03-18 |
1A.e - Correction de l’interrogation écrite du 26 septembre 2014 |
True |
5.261 |
12 |
12 |
12 |
|
41 |
100% |
3.290 |
2023-03-18 |
1A.e - Correction de l’interrogation écrite du 10 octobre 2014 |
True |
7.374 |
17 |
17 |
17 |
|
42 |
82% |
3.464 |
2023-03-18 |
1A.e - Correction de l’interrogation écrite du 14 novembre 2014 |
True |
7.661 |
35 |
29 |
29 |
|
43 |
100% |
1.547 |
2023-03-18 |
1A.e - Correction de l’interrogation écrite du 14 novembre 2014 |
True |
5.590 |
15 |
15 |
15 |
|
44 |
100% |
0.836 |
2023-03-18 |
1A.e - Correction de l’interrogation écrite du 26 septembre 2015 |
True |
4.888 |
12 |
12 |
12 |
|
45 |
100% |
1.188 |
2023-03-18 |
1A.e - Correction de l’interrogation écrite du 6 novembre 2015 |
True |
5.288 |
16 |
16 |
16 |
|
46 |
100% |
26.879 |
2023-03-18 |
1A.e - TD noté, 27 novembre 2012 (éléments de code pour le coloriage) |
True |
30.930 |
6 |
6 |
6 |
|
47 |
100% |
59.807 |
2023-03-18 |
True |
63.931 |
14 |
14 |
14 |
||
48 |
100% |
4.231 |
2023-03-18 |
True |
8.354 |
36 |
36 |
36 |
||
49 |
100% |
0.212 |
2023-03-18 |
True |
4.229 |
6 |
6 |
6 |
||
50 |
100% |
10.769 |
2023-03-18 |
True |
14.885 |
26 |
26 |
26 |
||
51 |
100% |
3.700 |
2023-03-18 |
True |
7.782 |
23 |
23 |
23 |
||
52 |
100% |
2.615 |
2023-03-18 |
True |
6.697 |
21 |
21 |
21 |
||
53 |
100% |
20.595 |
2023-03-18 |
True |
24.760 |
25 |
25 |
25 |
||
54 |
100% |
17.914 |
2023-03-18 |
True |
21.979 |
21 |
21 |
21 |
||
55 |
100% |
81.822 |
2023-03-18 |
True |
85.925 |
17 |
17 |
17 |
||
56 |
100% |
40.855 |
2023-03-18 |
True |
44.954 |
18 |
18 |
18 |
||
57 |
100% |
17.424 |
2023-03-18 |
True |
21.601 |
29 |
29 |
29 |
||
58 |
100% |
16.948 |
2023-03-18 |
True |
21.081 |
28 |
28 |
28 |
||
59 |
100% |
29.120 |
2023-03-18 |
True |
33.203 |
24 |
24 |
24 |
||
60 |
100% |
22.962 |
2023-03-18 |
True |
27.041 |
31 |
31 |
31 |
||
61 |
100% |
1.091 |
2023-03-18 |
True |
5.243 |
9 |
9 |
9 |
||
62 |
100% |
9.146 |
2023-03-18 |
True |
13.167 |
10 |
10 |
10 |
||
63 |
100% |
53.744 |
2023-03-18 |
True |
57.872 |
17 |
17 |
17 |
||
64 |
100% |
52.109 |
2023-03-18 |
True |
56.273 |
39 |
39 |
39 |
||
65 |
100% |
22.154 |
2023-03-18 |
True |
26.188 |
11 |
11 |
11 |
||
66 |
100% |
6.979 |
2023-03-18 |
True |
11.069 |
6 |
6 |
6 |
||
67 |
100% |
6.858 |
2023-03-18 |
True |
10.899 |
11 |
11 |
11 |
||
68 |
100% |
1.127 |
2023-03-18 |
3A.mr - Random Walk with Restart (système de recommandations) |
True |
5.167 |
4 |
4 |
4 |
|
69 |
0% |
nan |
nan |
18 |
0 |
|||||
70 |
100% |
34.070 |
2023-03-18 |
True |
38.168 |
14 |
14 |
14 |
||
71 |
100% |
63.709 |
2023-03-18 |
True |
67.798 |
15 |
15 |
15 |
||
72 |
0% |
nan |
nan |
30 |
0 |
|||||
73 |
0% |
nan |
nan |
53 |
0 |
|||||
74 |
0% |
nan |
nan |
54 |
0 |
|||||
75 |
100% |
8.586 |
2023-03-18 |
sklearn_ensae_course/00_introduction_machine_learning_and_data.ipynb |
True |
12.697 |
13 |
13 |
13 |
|
76 |
100% |
9.182 |
2023-03-18 |
2A.ML101.1: Introduction to data manipulation with scientific Python |
True |
13.304 |
18 |
18 |
18 |
|
77 |
100% |
18.641 |
2023-03-18 |
sklearn_ensae_course/02_basic_of_machine_learning_with_scikit-learn.ipynb |
2A.ML101.2: Basic principles of machine learning with scikit-learn |
True |
22.705 |
15 |
15 |
15 |
78 |
100% |
36.778 |
2023-03-18 |
2A.ML101.3: Supervised Learning: Classification of Handwritten Digits |
True |
40.820 |
12 |
12 |
12 |
|
79 |
100% |
18.508 |
2023-03-18 |
True |
22.599 |
12 |
12 |
12 |
||
80 |
100% |
25.024 |
2023-03-18 |
sklearn_ensae_course/05_measuring_prediction_performance.ipynb |
True |
29.112 |
23 |
23 |
23 |
|
81 |
100% |
26.016 |
2023-03-18 |
2A.ML101.6: Unsupervised Learning: Dimensionality Reduction and Visualization |
True |
30.077 |
18 |
18 |
18 |
|
82 |
100% |
28.747 |
2023-03-18 |
sklearn_ensae_course/07_application_to_face_recognition.ipynb |
True |
32.898 |
19 |
19 |
19 |
|
83 |
100% |
17.831 |
2023-03-18 |
sklearn_ensae_course/08_validation_and_learning_curves.ipynb |
True |
21.911 |
15 |
15 |
15 |
|
84 |
100% |
0.541 |
2023-03-18 |
True |
4.615 |
6 |
6 |
6 |
||
85 |
100% |
8.143 |
2023-03-18 |
True |
12.251 |
30 |
30 |
30 |
||
86 |
100% |
0.384 |
2023-03-18 |
True |
4.415 |
3 |
3 |
3 |
||
87 |
100% |
1.463 |
2023-03-18 |
True |
5.531 |
11 |
11 |
11 |
||
88 |
100% |
63.449 |
2023-03-18 |
True |
67.532 |
20 |
20 |
20 |
||
89 |
100% |
0.345 |
2023-03-18 |
True |
4.397 |
5 |
5 |
5 |
||
90 |
100% |
0.664 |
2023-03-18 |
True |
4.713 |
7 |
7 |
7 |
||
91 |
75% |
1.248 |
2023-03-18 |
True |
5.313 |
16 |
12 |
12 |
||
92 |
100% |
3.467 |
2023-03-18 |
True |
7.592 |
30 |
30 |
30 |
||
93 |
100% |
2.135 |
2023-03-18 |
True |
6.214 |
26 |
26 |
26 |
||
94 |
100% |
4.481 |
2023-03-18 |
True |
8.633 |
20 |
20 |
20 |
||
95 |
100% |
2.092 |
2023-03-18 |
1A.2 - Classes, méthodes, attributs, opérateurs et carré magique |
True |
6.189 |
17 |
17 |
17 |
|
96 |
100% |
0.948 |
2023-03-18 |
True |
4.971 |
11 |
11 |
11 |
||
97 |
100% |
1.320 |
2023-03-18 |
True |
5.376 |
13 |
13 |
13 |
||
98 |
100% |
0.873 |
2023-03-18 |
True |
4.897 |
8 |
8 |
8 |
||
99 |
100% |
0.934 |
2023-03-18 |
1A.1 - Dictionnaires, fonctions, code de Vigenère (correction) |
True |
4.950 |
9 |
9 |
9 |
|
100 |
100% |
6.414 |
2023-03-18 |
1A.2 - Modules, fichiers, expressions régulières (correction) |
True |
10.463 |
20 |
20 |
20 |
|
101 |
100% |
64.189 |
2023-03-18 |
1A.2 - Classes, méthodes, attributs, opérateurs et carré magique (correction) |
True |
68.280 |
12 |
12 |
12 |
|
102 |
100% |
0.561 |
2023-03-18 |
True |
4.720 |
5 |
5 |
5 |
||
103 |
100% |
2.688 |
2023-03-18 |
True |
6.717 |
5 |
5 |
5 |
||
104 |
100% |
7.416 |
2023-03-18 |
True |
11.579 |
11 |
11 |
11 |
||
105 |
100% |
1.837 |
2023-03-18 |
True |
5.915 |
6 |
6 |
6 |
||
106 |
100% |
21.204 |
2023-03-18 |
True |
25.297 |
23 |
23 |
23 |
||
107 |
100% |
0.443 |
2023-03-18 |
True |
4.549 |
4 |
4 |
4 |
||
108 |
100% |
1.765 |
2023-03-18 |
True |
5.810 |
8 |
8 |
8 |
||
109 |
100% |
1.987 |
2023-03-18 |
True |
6.096 |
9 |
9 |
9 |
||
110 |
100% |
1.210 |
2023-03-18 |
True |
5.264 |
6 |
6 |
6 |
||
111 |
100% |
1.479 |
2023-03-18 |
True |
5.519 |
6 |
6 |
6 |
||
112 |
100% |
2.492 |
2023-03-18 |
True |
6.586 |
11 |
11 |
11 |
||
113 |
100% |
0.130 |
2023-03-18 |
True |
4.139 |
4 |
4 |
4 |
||
114 |
100% |
4.439 |
2023-03-18 |
True |
8.579 |
17 |
17 |
17 |
||
115 |
100% |
0.424 |
2023-03-18 |
True |
4.562 |
8 |
8 |
8 |
||
116 |
100% |
0.506 |
2023-03-18 |
True |
4.538 |
10 |
10 |
10 |
||
117 |
100% |
0.138 |
2023-03-18 |
True |
4.194 |
4 |
4 |
4 |
||
118 |
100% |
0.570 |
2023-03-18 |
True |
4.618 |
6 |
6 |
6 |
||
119 |
100% |
20.984 |
2023-03-18 |
True |
25.033 |
17 |
17 |
17 |
||
120 |
100% |
7.810 |
2023-03-18 |
1A.algo - Programmation dynamique et plus court chemin (correction) |
True |
11.900 |
15 |
15 |
15 |
|
121 |
100% |
2.451 |
2023-03-18 |
True |
6.528 |
20 |
20 |
20 |
||
122 |
100% |
178.703 |
2023-03-05 |
True |
183.085 |
20 |
20 |
20 |
||
123 |
100% |
4.155 |
2023-03-18 |
True |
8.220 |
5 |
5 |
5 |
||
124 |
100% |
1.726 |
2023-03-18 |
True |
5.762 |
7 |
7 |
7 |
||
125 |
100% |
0.000 |
2023-03-18 |
True |
4.050 |
1 |
1 |
1 |
||
126 |
100% |
55.750 |
2023-03-18 |
1A.algo - la plus grande sous-séquence croissante - correction |
True |
59.845 |
10 |
10 |
10 |
|
127 |
87% |
3.285 |
2023-03-18 |
True |
7.326 |
8 |
7 |
7 |
||
128 |
100% |
4.893 |
2023-03-18 |
True |
8.968 |
10 |
10 |
10 |
||
129 |
100% |
2.264 |
2023-03-18 |
True |
6.348 |
6 |
6 |
6 |
||
130 |
100% |
18.538 |
2023-03-18 |
True |
22.590 |
8 |
8 |
8 |
||
131 |
100% |
0.139 |
2023-03-18 |
True |
4.160 |
7 |
7 |
7 |
||
132 |
100% |
1.663 |
2023-03-18 |
1A.data - Décorrélation de variables aléatoires - correction |
True |
5.776 |
15 |
15 |
15 |
|
133 |
100% |
7.666 |
2023-03-18 |
True |
11.887 |
51 |
51 |
51 |
||
134 |
100% |
25.371 |
2023-03-05 |
True |
29.832 |
22 |
22 |
22 |
||
135 |
100% |
13.233 |
2023-03-05 |
True |
18.091 |
9 |
9 |
9 |
||
136 |
87% |
105.568 |
2023-03-05 |
True |
110.246 |
16 |
14 |
14 |
||
137 |
100% |
7.844 |
2023-03-05 |
True |
12.389 |
18 |
18 |
18 |
||
138 |
100% |
195.937 |
2023-03-05 |
True |
200.241 |
14 |
14 |
14 |
||
139 |
100% |
25.255 |
2023-03-18 |
True |
29.355 |
23 |
23 |
23 |
||
140 |
100% |
98.440 |
2023-03-18 |
True |
102.737 |
33 |
33 |
33 |
||
141 |
100% |
3.102 |
2023-03-18 |
True |
7.185 |
15 |
15 |
15 |
||
142 |
100% |
30.824 |
2023-03-18 |
True |
34.972 |
15 |
15 |
15 |
||
143 |
100% |
9.210 |
2023-03-18 |
True |
13.388 |
45 |
45 |
45 |
||
144 |
100% |
40.291 |
2023-03-18 |
True |
44.407 |
35 |
35 |
35 |
||
145 |
100% |
3.025 |
2023-03-18 |
True |
7.070 |
11 |
11 |
11 |
||
146 |
100% |
35.054 |
2023-03-18 |
True |
39.281 |
64 |
64 |
64 |
||
147 |
100% |
50.308 |
2023-03-18 |
True |
54.445 |
18 |
18 |
18 |
||
148 |
100% |
1.112 |
2023-03-18 |
True |
5.224 |
14 |
14 |
14 |
||
149 |
100% |
16.864 |
2023-03-18 |
True |
20.997 |
28 |
28 |
28 |
||
150 |
100% |
5.163 |
2023-03-18 |
True |
9.240 |
24 |
24 |
24 |
||
151 |
100% |
24.448 |
2023-03-18 |
True |
28.492 |
16 |
16 |
16 |
||
152 |
100% |
60.169 |
2023-03-18 |
True |
64.285 |
32 |
32 |
32 |
||
153 |
100% |
13.380 |
2023-03-18 |
True |
17.532 |
14 |
14 |
14 |
||
154 |
100% |
39.044 |
2023-03-18 |
True |
43.293 |
19 |
19 |
19 |
||
155 |
100% |
60.555 |
2023-03-18 |
True |
64.752 |
24 |
24 |
24 |
||
156 |
100% |
2.067 |
2023-03-18 |
Distance entre deux mots de même longueur et tests unitaires |
True |
6.109 |
17 |
17 |
17 |
|
157 |
100% |
12.024 |
2023-03-18 |
True |
16.266 |
22 |
22 |
22 |
||
158 |
100% |
12.518 |
2023-03-18 |
True |
17.020 |
9 |
9 |
9 |
||
159 |
100% |
1.059 |
2023-03-18 |
True |
5.145 |
10 |
10 |
10 |
||
160 |
100% |
29.789 |
2023-03-18 |
True |
33.880 |
16 |
16 |
16 |
||
161 |
100% |
12.843 |
2023-03-18 |
True |
17.008 |
17 |
17 |
17 |
||
162 |
100% |
12.206 |
2023-03-18 |
True |
16.254 |
15 |
15 |
15 |
||
163 |
100% |
1.225 |
2023-03-18 |
True |
5.327 |
14 |
14 |
14 |
||
164 |
100% |
7.641 |
2023-03-18 |
True |
11.677 |
15 |
15 |
15 |
||
165 |
100% |
8.230 |
2023-03-18 |
True |
12.284 |
8 |
8 |
8 |
||
166 |
100% |
255.406 |
2023-03-18 |
True |
259.676 |
34 |
34 |
34 |
||
167 |
100% |
219.034 |
2023-03-18 |
True |
223.115 |
15 |
15 |
15 |
||
168 |
100% |
14.930 |
2023-03-18 |
True |
19.003 |
14 |
14 |
14 |
||
169 |
100% |
4.321 |
2023-03-18 |
True |
8.319 |
9 |
9 |
9 |
||
170 |
100% |
27.712 |
2023-03-18 |
True |
31.836 |
38 |
38 |
38 |
||
171 |
100% |
3.246 |
2023-03-18 |
True |
7.320 |
8 |
8 |
8 |
||
172 |
100% |
5.326 |
2023-03-18 |
True |
9.348 |
19 |
19 |
19 |
||
173 |
100% |
0.189 |
2023-03-18 |
True |
4.220 |
8 |
8 |
8 |
||
174 |
96% |
114.969 |
2023-03-05 |
True |
119.475 |
75 |
72 |
72 |
||
175 |
100% |
14.687 |
2023-03-18 |
True |
18.938 |
71 |
71 |
71 |
||
176 |
100% |
0.452 |
2023-03-18 |
True |
4.534 |
5 |
5 |
5 |
||
177 |
0% |
nan |
nan |
72 |
0 |
|||||
178 |
0% |
nan |
nan |
7 |
0 |
|||||
179 |
100% |
1.628 |
2023-03-18 |
True |
5.690 |
8 |
8 |
8 |
||
180 |
100% |
2.770 |
2023-03-05 |
2A.i - Modèle relationnel, analyse d’incidents dans le transport aérien |
True |
6.916 |
20 |
20 |
20 |
|
181 |
100% |
21.721 |
2023-03-05 |
td2a/td2a_cenonce_session_5_donnees_non_structurees_et_programmation_fonctionnelle.ipynb |
2A.i - Données non structurées et programmation fonctionnelle |
True |
25.936 |
30 |
30 |
30 |
182 |
96% |
67.228 |
2023-03-05 |
True |
71.445 |
27 |
26 |
26 |
||
183 |
100% |
8.562 |
2023-03-05 |
True |
12.880 |
13 |
13 |
13 |
||
184 |
100% |
5.031 |
2023-03-05 |
True |
9.116 |
6 |
6 |
6 |
||
185 |
100% |
39.511 |
2023-03-05 |
True |
43.764 |
24 |
24 |
24 |
||
186 |
0% |
nan |
2A.i - Modèle relationnel, analyse d’incidents dans le transport aérien - correction |
nan |
5 |
0 |
||||
187 |
0% |
nan |
td2a/td2a_correction_session_5_donnees_non_structurees_et_programmation_fonctionnelle_corrige.ipynb |
2A.i - Données non structurées, programmation fonctionnelle - correction |
nan |
72 |
0 |
|||
188 |
0% |
nan |
nan |
29 |
0 |
|||||
189 |
0% |
nan |
2A.ml - Classification binaire avec features textuelles - correction |
nan |
39 |
0 |
||||
190 |
100% |
14.475 |
2023-03-18 |
True |
19.169 |
6 |
6 |
6 |
||
191 |
100% |
53.877 |
2023-03-18 |
True |
58.069 |
36 |
36 |
36 |
||
192 |
90% |
176.289 |
2023-03-18 |
True |
180.608 |
42 |
38 |
38 |
||
193 |
100% |
0.131 |
2023-03-18 |
True |
4.171 |
6 |
6 |
6 |
||
194 |
100% |
0.139 |
2023-03-18 |
True |
4.153 |
6 |
6 |
6 |
||
195 |
100% |
8.854 |
2023-03-18 |
True |
12.872 |
8 |
8 |
8 |
||
196 |
100% |
492.696 |
2023-03-18 |
2A.algo - Plus proches voisins en grande dimension - correction |
True |
496.781 |
20 |
20 |
20 |
|
197 |
100% |
0.138 |
2023-03-18 |
True |
4.179 |
6 |
6 |
6 |
||
198 |
100% |
0.161 |
2023-03-18 |
True |
4.236 |
5 |
5 |
5 |
||
199 |
100% |
0.530 |
2023-03-18 |
True |
4.614 |
6 |
6 |
6 |
||
200 |
100% |
0.121 |
2023-03-18 |
True |
4.128 |
6 |
6 |
6 |
||
201 |
0% |
nan |
nan |
62 |
0 |
|||||
202 |
0% |
nan |
nan |
11 |
0 |
|||||
203 |
0% |
nan |
nan |
40 |
0 |
|||||
204 |
0% |
nan |
nan |
51 |
0 |
|||||
205 |
100% |
1.910 |
2023-03-18 |
True |
5.975 |
14 |
14 |
14 |
||
206 |
100% |
10.628 |
2023-03-18 |
True |
14.699 |
15 |
15 |
15 |
||
207 |
100% |
4.538 |
2023-03-18 |
2A.eco - Rappel de ce que vous savez déjà mais avez peut-être oublié |
True |
8.634 |
29 |
29 |
29 |
|
208 |
100% |
16.979 |
2023-03-18 |
td2a_eco/td2a_TD5_Traitement_automatique_des_langues_en_Python.ipynb |
True |
21.105 |
34 |
34 |
34 |
|
209 |
100% |
33.631 |
2023-03-18 |
td2a_eco/td2a_TD5_Traitement_automatique_des_langues_en_Python_correction.ipynb |
2A.eco - Traitement automatique de la langue en Python - correction |
True |
38.279 |
35 |
35 |
35 |
210 |
100% |
0.000 |
2023-03-18 |
True |
4.010 |
1 |
1 |
1 |
||
211 |
100% |
1.514 |
2023-03-18 |
td2a_eco/td2a_eco_exercices_de_manipulation_de_donnees.ipynb |
2A.eco - Mise en pratique des séances 1 et 2 - Utilisation de pandas et visualisation |
True |
5.547 |
3 |
3 |
3 |
212 |
100% |
4.558 |
2023-03-18 |
td2a_eco/td2a_eco_exercices_de_manipulation_de_donnees_correction_a.ipynb |
2A.eco - Mise en pratique des séances 1 et 2 - Utilisation de pandas et visualisation - correction |
True |
8.598 |
10 |
10 |
10 |
213 |
100% |
7.877 |
2023-03-18 |
td2a_eco/td2a_eco_exercices_de_manipulation_de_donnees_correction_b.ipynb |
2A.eco - Mise en pratique des séances 1 et 2 - Utilisation de pandas et visualisation - correction |
True |
11.965 |
16 |
16 |
16 |
214 |
100% |
10.258 |
2023-03-18 |
td2a_eco/td2a_eco_exercices_de_manipulation_de_donnees_correction_c.ipynb |
2A.eco - Mise en pratique des séances 1 et 2 - Utilisation de pandas et visualisation - correction |
True |
14.316 |
14 |
14 |
14 |
215 |
100% |
45.413 |
2023-03-18 |
True |
49.484 |
12 |
12 |
12 |
||
216 |
100% |
4.041 |
2023-03-18 |
True |
8.332 |
26 |
26 |
26 |
||
217 |
100% |
5.722 |
2023-03-18 |
True |
9.837 |
36 |
36 |
36 |
||
218 |
0% |
nan |
nan |
63 |
0 |
|||||
219 |
0% |
nan |
nan |
63 |
0 |
|||||
220 |
0% |
nan |
td2a_eco2/td2a_eco_5d_Travailler_du_texte_les_expressions_regulieres.ipynb |
nan |
26 |
0 |
||||
221 |
0% |
nan |
td2a_eco2/td2a_eco_5d_Travailler_du_texte_les_expressions_regulieres_correction.ipynb |
2A.eco - Les expressions régulières : à quoi ça sert ? (correction) |
nan |
27 |
0 |
|||
222 |
0% |
nan |
td2a_eco2/td2a_eco_NLP_tf_idf_ngrams_LDA_word2vec_sur_des_extraits_litteraires.ipynb |
nan |
115 |
0 |
||||
223 |
100% |
484.258 |
2023-03-18 |
True |
488.557 |
37 |
37 |
37 |
||
224 |
100% |
739.809 |
2023-03-05 |
True |
744.012 |
28 |
28 |
28 |
||
225 |
100% |
265.347 |
2023-03-18 |
True |
269.461 |
22 |
22 |
22 |
||
226 |
100% |
22.097 |
2023-03-18 |
True |
26.299 |
41 |
41 |
41 |
||
227 |
100% |
0.366 |
2023-03-18 |
2A.ml - Boosting, random forest, gradient - les features qu’ils aiment |
True |
4.415 |
4 |
4 |
4 |
|
228 |
100% |
10.394 |
2023-03-18 |
True |
14.570 |
27 |
27 |
27 |
||
229 |
100% |
167.667 |
2023-03-18 |
Hyperparamètres, LassoRandomForestRregressor et grid_search (correction) |
True |
171.770 |
15 |
15 |
15 |
|
230 |
100% |
4.314 |
2023-03-18 |
Hyperparamètres, LassoRandomForestRregressor et grid_search (énoncé) |
True |
8.391 |
4 |
4 |
4 |
|
231 |
100% |
2.668 |
2023-03-18 |
True |
6.751 |
12 |
12 |
12 |
||
232 |
100% |
18.522 |
2023-03-18 |
Rappels sur scikit-learn et le machine learning (correction) |
True |
22.593 |
21 |
21 |
21 |
|
233 |
100% |
33.542 |
2023-03-18 |
True |
37.701 |
42 |
42 |
42 |
||
234 |
100% |
1283.866 |
2023-03-05 |
True |
1288.623 |
18 |
18 |
18 |
||
235 |
100% |
179.528 |
2023-03-05 |
True |
184.175 |
16 |
16 |
16 |
||
236 |
100% |
3.925 |
2023-03-18 |
True |
7.965 |
9 |
9 |
9 |
||
237 |
100% |
4.729 |
2023-03-18 |
True |
8.794 |
6 |
6 |
6 |
||
238 |
100% |
62.496 |
2023-03-18 |
True |
66.707 |
25 |
25 |
25 |
||
239 |
100% |
52.353 |
2023-03-18 |
2A.data - Classification, régression, anomalies - correction |
True |
56.483 |
33 |
33 |
33 |
|
240 |
100% |
1860.482 |
2023-03-05 |
2A.ml - Statistiques descriptives avec scikit-learn - correction |
True |
1864.813 |
24 |
24 |
24 |
|
241 |
100% |
551.529 |
2023-03-05 |
True |
556.269 |
26 |
26 |
26 |
||
242 |
100% |
45.205 |
2023-03-18 |
True |
49.330 |
26 |
26 |
26 |
||
243 |
100% |
5.762 |
2023-03-18 |
True |
9.786 |
9 |
9 |
9 |
||
244 |
0% |
nan |
nan |
42 |
0 |
|||||
245 |
0% |
nan |
nan |
6 |
0 |
|||||
246 |
100% |
40.525 |
2023-03-18 |
2A.ml - Pipeline pour un réduction d’une forêt aléatoire - correction |
True |
44.603 |
24 |
24 |
24 |
|
247 |
100% |
7.223 |
2023-03-18 |
2A.ml - Pipeline pour un réduction d’une forêt aléatoire - énoncé |
True |
13.412 |
11 |
11 |
11 |
|
248 |
100% |
3.579 |
2023-03-18 |
True |
7.650 |
6 |
6 |
6 |
||
249 |
100% |
32.453 |
2023-03-18 |
True |
36.547 |
44 |
44 |
44 |
||
250 |
100% |
7.403 |
2023-03-18 |
True |
11.452 |
15 |
15 |
15 |
||
251 |
100% |
34.902 |
2023-03-18 |
True |
39.002 |
15 |
15 |
15 |
||
252 |
100% |
83.176 |
2023-03-18 |
True |
87.493 |
19 |
19 |
19 |
||
253 |
100% |
4.351 |
2023-03-18 |
True |
8.387 |
8 |
8 |
8 |
