Notebooks Coverage¶
Report on last executions.
93% 2022-05-13

index |
coverage |
exe time |
last execution |
name |
title |
success |
time |
nb cells |
nb runs |
nb valid |
---|---|---|---|---|---|---|---|---|---|---|
0 |
100% |
23.377 |
2022-05-13 |
1A.1 - Liste, tuple, ensemble, dictionnaire, liste chaînée, coût des opérations |
True |
27.947 |
4 |
4 |
4 |
|
1 |
100% |
10.096 |
2022-05-13 |
True |
14.146 |
12 |
12 |
12 |
||
2 |
100% |
10.304 |
2022-05-13 |
True |
14.296 |
23 |
23 |
23 |
||
3 |
100% |
0.614 |
2022-05-13 |
1A.algo - Calculer le nombre de façons de monter une échelle. |
True |
4.545 |
6 |
6 |
6 |
|
4 |
100% |
2.090 |
2022-05-13 |
True |
6.094 |
16 |
16 |
16 |
||
5 |
100% |
6.317 |
2022-05-13 |
True |
10.269 |
15 |
15 |
15 |
||
6 |
100% |
0.358 |
2022-05-13 |
True |
4.337 |
4 |
4 |
4 |
||
7 |
100% |
1.128 |
2022-05-13 |
True |
5.047 |
8 |
8 |
8 |
||
8 |
100% |
60.007 |
2022-05-13 |
True |
64.013 |
15 |
15 |
15 |
||
9 |
100% |
21.835 |
2022-05-13 |
True |
25.759 |
11 |
11 |
11 |
||
10 |
100% |
1.021 |
2022-05-13 |
True |
4.997 |
9 |
9 |
9 |
||
11 |
100% |
5.017 |
2022-05-13 |
True |
9.057 |
29 |
29 |
29 |
||
12 |
100% |
2.198 |
2022-05-13 |
True |
6.203 |
8 |
8 |
8 |
||
13 |
100% |
74.355 |
2022-05-13 |
True |
78.394 |
17 |
17 |
17 |
||
14 |
100% |
287.205 |
2022-04-24 |
True |
291.310 |
28 |
28 |
28 |
||
15 |
100% |
17.418 |
2022-04-24 |
True |
21.581 |
16 |
16 |
16 |
||
16 |
100% |
13.541 |
2022-04-24 |
True |
17.811 |
26 |
26 |
26 |
||
17 |
100% |
72.753 |
2022-04-24 |
True |
77.031 |
22 |
22 |
22 |
||
18 |
100% |
17.559 |
2022-05-13 |
True |
21.597 |
20 |
20 |
20 |
||
19 |
100% |
46.525 |
2022-04-24 |
True |
50.699 |
43 |
43 |
43 |
||
20 |
89% |
3.611 |
2022-05-13 |
True |
7.601 |
28 |
25 |
25 |
||
21 |
100% |
9.961 |
2022-05-13 |
True |
14.016 |
29 |
29 |
29 |
||
22 |
100% |
7.026 |
2022-05-13 |
True |
11.025 |
21 |
21 |
21 |
||
23 |
100% |
1.386 |
2022-05-13 |
True |
5.302 |
11 |
11 |
11 |
||
24 |
100% |
15.822 |
2022-05-13 |
True |
19.881 |
20 |
20 |
20 |
||
25 |
100% |
195.096 |
2022-05-13 |
True |
199.168 |
19 |
19 |
19 |
||
26 |
100% |
14.059 |
2022-05-13 |
True |
18.205 |
19 |
19 |
19 |
||
27 |
100% |
294.909 |
2022-04-24 |
True |
299.236 |
92 |
92 |
92 |
||
28 |
100% |
3.958 |
2022-05-13 |
True |
8.037 |
15 |
15 |
15 |
||
29 |
100% |
11.131 |
2022-05-13 |
True |
15.233 |
23 |
23 |
23 |
||
30 |
100% |
1.505 |
2022-05-13 |
True |
5.490 |
5 |
5 |
5 |
||
31 |
100% |
24.469 |
2022-05-13 |
True |
28.499 |
28 |
28 |
28 |
||
32 |
100% |
5.100 |
2022-05-13 |
True |
9.097 |
8 |
8 |
8 |
||
33 |
100% |
110.508 |
2022-04-24 |
2A.i - Données non structurées, programmation fonctionnelle : dask |
True |
114.966 |
16 |
16 |
16 |
|
34 |
100% |
35.503 |
2022-04-24 |
True |
39.651 |
20 |
20 |
20 |
||
35 |
100% |
224.677 |
2022-04-24 |
True |
228.786 |
44 |
44 |
44 |
||
36 |
100% |
43.345 |
2022-05-13 |
True |
47.384 |
27 |
27 |
27 |
||
37 |
0% |
nan |
nan |
30 |
0 |
|||||
38 |
0% |
nan |
nan |
21 |
0 |
|||||
39 |
100% |
1.563 |
2022-05-13 |
1A.e - Correction de l’interrogation écrite du 26 septembre 2014 |
True |
5.555 |
12 |
12 |
12 |
|
40 |
100% |
3.395 |
2022-05-13 |
1A.e - Correction de l’interrogation écrite du 10 octobre 2014 |
True |
7.461 |
17 |
17 |
17 |
|
41 |
82% |
3.579 |
2022-05-13 |
1A.e - Correction de l’interrogation écrite du 14 novembre 2014 |
True |
7.660 |
35 |
29 |
29 |
|
42 |
100% |
1.891 |
2022-05-13 |
1A.e - Correction de l’interrogation écrite du 14 novembre 2014 |
True |
5.926 |
15 |
15 |
15 |
|
43 |
100% |
0.872 |
2022-05-13 |
1A.e - Correction de l’interrogation écrite du 26 septembre 2015 |
True |
4.882 |
12 |
12 |
12 |
|
44 |
100% |
1.334 |
2022-05-13 |
1A.e - Correction de l’interrogation écrite du 6 novembre 2015 |
True |
5.623 |
16 |
16 |
16 |
|
45 |
100% |
32.098 |
2022-05-13 |
1A.e - TD noté, 27 novembre 2012 (éléments de code pour le coloriage) |
True |
36.179 |
6 |
6 |
6 |
|
46 |
100% |
51.356 |
2022-05-13 |
True |
55.530 |
14 |
14 |
14 |
||
47 |
100% |
4.842 |
2022-05-13 |
True |
9.299 |
36 |
36 |
36 |
||
48 |
100% |
0.279 |
2022-05-13 |
True |
4.552 |
6 |
6 |
6 |
||
49 |
100% |
12.014 |
2022-05-13 |
True |
16.072 |
26 |
26 |
26 |
||
50 |
100% |
4.095 |
2022-05-13 |
True |
8.739 |
23 |
23 |
23 |
||
51 |
100% |
3.171 |
2022-05-13 |
True |
7.181 |
21 |
21 |
21 |
||
52 |
100% |
18.407 |
2022-05-13 |
True |
22.425 |
25 |
25 |
25 |
||
53 |
100% |
16.730 |
2022-05-13 |
True |
20.779 |
21 |
21 |
21 |
||
54 |
100% |
84.524 |
2022-05-13 |
True |
88.773 |
17 |
17 |
17 |
||
55 |
100% |
45.556 |
2022-05-13 |
True |
49.749 |
18 |
18 |
18 |
||
56 |
100% |
16.970 |
2022-05-13 |
True |
21.505 |
29 |
29 |
29 |
||
57 |
100% |
14.388 |
2022-05-13 |
True |
18.857 |
28 |
28 |
28 |
||
58 |
100% |
34.045 |
2022-05-13 |
True |
38.048 |
24 |
24 |
24 |
||
59 |
100% |
37.058 |
2022-05-13 |
True |
41.571 |
31 |
31 |
31 |
||
60 |
100% |
1.503 |
2022-05-13 |
True |
5.490 |
9 |
9 |
9 |
||
61 |
100% |
9.038 |
2022-05-13 |
True |
12.993 |
10 |
10 |
10 |
||
62 |
100% |
56.931 |
2022-05-13 |
True |
61.047 |
39 |
39 |
39 |
||
63 |
100% |
18.065 |
2022-05-13 |
True |
22.210 |
11 |
11 |
11 |
||
64 |
100% |
6.113 |
2022-05-13 |
True |
10.177 |
6 |
6 |
6 |
||
65 |
100% |
9.293 |
2022-05-13 |
True |
13.334 |
11 |
11 |
11 |
||
66 |
100% |
1.928 |
2022-05-13 |
3A.mr - Random Walk with Restart (système de recommandations) |
True |
6.010 |
4 |
4 |
4 |
|
67 |
100% |
3.015 |
2022-04-24 |
True |
7.063 |
9 |
9 |
9 |
||
68 |
100% |
32.420 |
2022-05-13 |
True |
36.597 |
14 |
14 |
14 |
||
69 |
100% |
54.877 |
2022-05-13 |
True |
58.981 |
15 |
15 |
15 |
||
70 |
0% |
nan |
nan |
30 |
0 |
|||||
71 |
100% |
2281.173 |
2022-04-24 |
True |
2285.968 |
24 |
24 |
24 |
||
72 |
100% |
699.352 |
2022-04-24 |
True |
707.855 |
35 |
35 |
35 |
||
73 |
100% |
8.594 |
2022-05-13 |
sklearn_ensae_course/00_introduction_machine_learning_and_data.ipynb |
True |
12.749 |
13 |
13 |
13 |
|
74 |
100% |
8.575 |
2022-05-13 |
2A.ML101.1: Introduction to data manipulation with scientific Python |
True |
12.589 |
18 |
18 |
18 |
|
75 |
100% |
12.557 |
2022-05-13 |
sklearn_ensae_course/02_basic_of_machine_learning_with_scikit-learn.ipynb |
2A.ML101.2: Basic principles of machine learning with scikit-learn |
True |
16.580 |
15 |
15 |
15 |
76 |
100% |
30.053 |
2022-05-13 |
2A.ML101.3: Supervised Learning: Classification of Handwritten Digits |
True |
34.085 |
12 |
12 |
12 |
|
77 |
100% |
17.160 |
2022-05-13 |
True |
21.118 |
12 |
12 |
12 |
||
78 |
100% |
24.249 |
2022-05-13 |
sklearn_ensae_course/05_measuring_prediction_performance.ipynb |
True |
28.752 |
23 |
23 |
23 |
|
79 |
100% |
25.880 |
2022-05-13 |
2A.ML101.6: Unsupervised Learning: Dimensionality Reduction and Visualization |
True |
30.025 |
18 |
18 |
18 |
|
80 |
100% |
26.892 |
2022-05-13 |
sklearn_ensae_course/07_application_to_face_recognition.ipynb |
True |
31.147 |
19 |
19 |
19 |
|
81 |
100% |
16.262 |
2022-05-13 |
sklearn_ensae_course/08_validation_and_learning_curves.ipynb |
True |
20.314 |
15 |
15 |
15 |
|
82 |
100% |
0.747 |
2022-05-13 |
True |
4.773 |
6 |
6 |
6 |
||
83 |
100% |
9.234 |
2022-05-13 |
True |
13.232 |
30 |
30 |
30 |
||
84 |
100% |
0.469 |
2022-05-13 |
True |
4.399 |
3 |
3 |
3 |
||
85 |
100% |
1.460 |
2022-05-13 |
True |
5.487 |
11 |
11 |
11 |
||
86 |
100% |
55.043 |
2022-05-13 |
True |
58.996 |
20 |
20 |
20 |
||
87 |
100% |
0.369 |
2022-05-13 |
True |
4.473 |
5 |
5 |
5 |
||
88 |
100% |
0.696 |
2022-05-13 |
True |
4.837 |
7 |
7 |
7 |
||
89 |
75% |
1.306 |
2022-05-13 |
True |
5.272 |
16 |
12 |
12 |
||
90 |
100% |
3.900 |
2022-05-13 |
True |
8.001 |
30 |
30 |
30 |
||
91 |
100% |
2.416 |
2022-05-13 |
True |
6.665 |
26 |
26 |
26 |
||
92 |
100% |
4.947 |
2022-05-13 |
True |
9.038 |
20 |
20 |
20 |
||
93 |
100% |
1.937 |
2022-05-13 |
1A.2 - Classes, méthodes, attributs, opérateurs et carré magique |
True |
5.949 |
17 |
17 |
17 |
|
94 |
100% |
1.431 |
2022-05-13 |
True |
6.040 |
11 |
11 |
11 |
||
95 |
100% |
1.676 |
2022-05-13 |
True |
5.720 |
13 |
13 |
13 |
||
96 |
100% |
1.291 |
2022-05-13 |
True |
5.238 |
8 |
8 |
8 |
||
97 |
100% |
0.979 |
2022-05-13 |
1A.1 - Dictionnaires, fonctions, code de Vigenère (correction) |
True |
4.930 |
9 |
9 |
9 |
|
98 |
100% |
8.418 |
2022-05-13 |
1A.2 - Modules, fichiers, expressions régulières (correction) |
True |
12.437 |
20 |
20 |
20 |
|
99 |
100% |
53.378 |
2022-05-13 |
1A.2 - Classes, méthodes, attributs, opérateurs et carré magique (correction) |
True |
57.323 |
12 |
12 |
12 |
|
100 |
100% |
0.617 |
2022-05-13 |
True |
4.738 |
5 |
5 |
5 |
||
101 |
100% |
4.116 |
2022-05-13 |
True |
8.076 |
5 |
5 |
5 |
||
102 |
100% |
7.317 |
2022-05-13 |
True |
11.341 |
11 |
11 |
11 |
||
103 |
100% |
1.785 |
2022-05-13 |
True |
5.786 |
6 |
6 |
6 |
||
104 |
100% |
17.485 |
2022-05-13 |
True |
21.629 |
23 |
23 |
23 |
||
105 |
100% |
0.444 |
2022-05-13 |
True |
4.374 |
4 |
4 |
4 |
||
106 |
100% |
1.925 |
2022-05-13 |
True |
5.890 |
8 |
8 |
8 |
||
107 |
100% |
2.596 |
2022-05-13 |
True |
6.790 |
9 |
9 |
9 |
||
108 |
100% |
1.106 |
2022-05-13 |
True |
5.050 |
6 |
6 |
6 |
||
109 |
100% |
1.415 |
2022-05-13 |
True |
5.401 |
6 |
6 |
6 |
||
110 |
100% |
3.199 |
2022-05-13 |
True |
8.066 |
11 |
11 |
11 |
||
111 |
100% |
0.137 |
2022-05-13 |
True |
4.098 |
4 |
4 |
4 |
||
112 |
100% |
4.155 |
2022-05-13 |
True |
8.286 |
17 |
17 |
17 |
||
113 |
100% |
0.446 |
2022-05-13 |
True |
4.489 |
8 |
8 |
8 |
||
114 |
100% |
0.535 |
2022-05-13 |
True |
4.521 |
10 |
10 |
10 |
||
115 |
100% |
0.144 |
2022-05-13 |
True |
4.161 |
4 |
4 |
4 |
||
116 |
100% |
0.586 |
2022-05-13 |
True |
4.563 |
6 |
6 |
6 |
||
117 |
100% |
17.768 |
2022-05-13 |
True |
21.832 |
17 |
17 |
17 |
||
118 |
100% |
7.759 |
2022-05-13 |
1A.algo - Programmation dynamique et plus court chemin (correction) |
True |
11.721 |
15 |
15 |
15 |
|
119 |
100% |
2.613 |
2022-05-13 |
True |
6.641 |
20 |
20 |
20 |
||
120 |
100% |
150.937 |
2022-04-24 |
True |
155.442 |
20 |
20 |
20 |
||
121 |
100% |
4.292 |
2022-05-13 |
True |
8.376 |
5 |
5 |
5 |
||
122 |
100% |
2.096 |
2022-05-13 |
True |
6.013 |
7 |
7 |
7 |
||
123 |
100% |
0.000 |
2022-05-13 |
True |
3.946 |
1 |
1 |
1 |
||
124 |
100% |
60.206 |
2022-05-13 |
1A.algo - la plus grande sous-séquence croissante - correction |
True |
64.311 |
10 |
10 |
10 |
|
125 |
87% |
3.263 |
2022-05-13 |
True |
7.414 |
8 |
7 |
7 |
||
126 |
100% |
4.651 |
2022-05-13 |
True |
8.695 |
10 |
10 |
10 |
||
127 |
100% |
1.680 |
2022-05-13 |
True |
5.626 |
6 |
6 |
6 |
||
128 |
100% |
18.696 |
2022-05-13 |
True |
22.831 |
8 |
8 |
8 |
||
129 |
100% |
0.152 |
2022-05-13 |
True |
4.276 |
7 |
7 |
7 |
||
130 |
100% |
1.956 |
2022-05-13 |
1A.data - Décorrélation de variables aléatoires - correction |
True |
6.023 |
15 |
15 |
15 |
|
131 |
100% |
8.330 |
2022-05-13 |
True |
12.406 |
51 |
51 |
51 |
||
132 |
0% |
nan |
nan |
38 |
0 |
|||||
133 |
0% |
nan |
nan |
17 |
0 |
|||||
134 |
0% |
nan |
nan |
29 |
0 |
|||||
135 |
100% |
7.114 |
2022-04-24 |
True |
11.715 |
18 |
18 |
18 |
||
136 |
0% |
nan |
nan |
24 |
0 |
|||||
137 |
100% |
20.411 |
2022-05-13 |
True |
24.444 |
23 |
23 |
23 |
||
138 |
100% |
63.257 |
2022-05-13 |
True |
67.396 |
33 |
33 |
33 |
||
139 |
100% |
4.716 |
2022-05-13 |
True |
8.909 |
15 |
15 |
15 |
||
140 |
100% |
27.328 |
2022-05-13 |
True |
31.397 |
15 |
15 |
15 |
||
141 |
100% |
10.340 |
2022-05-13 |
True |
14.390 |
45 |
45 |
45 |
||
142 |
100% |
36.094 |
2022-05-13 |
True |
40.188 |
35 |
35 |
35 |
||
143 |
100% |
4.570 |
2022-05-13 |
True |
8.585 |
11 |
11 |
11 |
||
144 |
100% |
29.757 |
2022-05-13 |
True |
33.917 |
64 |
64 |
64 |
||
145 |
100% |
43.464 |
2022-05-13 |
True |
47.471 |
18 |
18 |
18 |
||
146 |
100% |
1.203 |
2022-05-13 |
True |
5.176 |
14 |
14 |
14 |
||
147 |
100% |
16.741 |
2022-05-13 |
True |
20.820 |
28 |
28 |
28 |
||
148 |
100% |
5.527 |
2022-05-13 |
True |
9.643 |
24 |
24 |
24 |
||
149 |
100% |
20.470 |
2022-05-13 |
True |
24.582 |
16 |
16 |
16 |
||
150 |
100% |
56.439 |
2022-05-13 |
True |
60.478 |
32 |
32 |
32 |
||
151 |
100% |
10.707 |
2022-05-13 |
True |
14.684 |
14 |
14 |
14 |
||
152 |
100% |
35.196 |
2022-05-13 |
True |
39.442 |
19 |
19 |
19 |
||
153 |
100% |
59.122 |
2022-05-13 |
True |
63.165 |
24 |
24 |
24 |
||
154 |
100% |
2.312 |
2022-05-13 |
Distance entre deux mots de même longueur et tests unitaires |
True |
6.640 |
17 |
17 |
17 |
|
155 |
100% |
8.612 |
2022-05-13 |
True |
12.735 |
22 |
22 |
22 |
||
156 |
100% |
10.582 |
2022-05-13 |
True |
15.018 |
9 |
9 |
9 |
||
157 |
100% |
9.842 |
2022-05-13 |
True |
13.968 |
15 |
15 |
15 |
||
158 |
100% |
10.868 |
2022-05-13 |
True |
14.896 |
8 |
8 |
8 |
||
159 |
100% |
222.067 |
2022-05-13 |
True |
226.270 |
34 |
34 |
34 |
||
160 |
100% |
188.107 |
2022-05-13 |
True |
192.422 |
15 |
15 |
15 |
||
161 |
100% |
14.342 |
2022-05-13 |
True |
18.528 |
14 |
14 |
14 |
||
162 |
100% |
5.468 |
2022-05-13 |
True |
9.415 |
9 |
9 |
9 |
||
163 |
100% |
27.273 |
2022-05-13 |
True |
31.211 |
38 |
38 |
38 |
||
164 |
100% |
3.683 |
2022-05-13 |
True |
7.816 |
8 |
8 |
8 |
||
165 |
100% |
5.705 |
2022-05-13 |
True |
9.647 |
19 |
19 |
19 |
||
166 |
100% |
0.198 |
2022-05-13 |
True |
4.139 |
8 |
8 |
8 |
||
167 |
96% |
102.689 |
2022-04-24 |
True |
107.179 |
75 |
72 |
72 |
||
168 |
100% |
13.328 |
2022-05-13 |
True |
17.557 |
71 |
71 |
71 |
||
169 |
100% |
0.452 |
2022-05-13 |
True |
4.491 |
5 |
5 |
5 |
||
170 |
0% |
nan |
nan |
72 |
0 |
|||||
171 |
0% |
nan |
nan |
7 |
0 |
|||||
172 |
100% |
1.515 |
2022-05-13 |
True |
5.465 |
8 |
8 |
8 |
||
173 |
100% |
3.030 |
2022-04-24 |
2A.i - Modèle relationnel, analyse d’incidents dans le transport aérien |
True |
7.155 |
20 |
20 |
20 |
|
174 |
100% |
21.012 |
2022-04-24 |
td2a/td2a_cenonce_session_5_donnees_non_structurees_et_programmation_fonctionnelle.ipynb |
2A.i - Données non structurées et programmation fonctionnelle |
True |
25.155 |
30 |
30 |
30 |
175 |
96% |
56.211 |
2022-04-24 |
True |
60.948 |
27 |
26 |
26 |
||
176 |
100% |
13.754 |
2022-04-24 |
True |
18.458 |
13 |
13 |
13 |
||
177 |
100% |
7.428 |
2022-04-24 |
True |
12.293 |
6 |
6 |
6 |
||
178 |
100% |
35.180 |
2022-04-24 |
True |
39.435 |
24 |
24 |
24 |
||
179 |
100% |
1.623 |
2022-04-24 |
2A.i - Modèle relationnel, analyse d’incidents dans le transport aérien - correction |
True |
5.786 |
3 |
3 |
3 |
|
180 |
100% |
80.041 |
2022-04-24 |
td2a/td2a_correction_session_5_donnees_non_structurees_et_programmation_fonctionnelle_corrige.ipynb |
2A.i - Données non structurées, programmation fonctionnelle - correction |
True |
84.184 |
33 |
33 |
33 |
181 |
100% |
13.433 |
2022-04-24 |
True |
19.118 |
18 |
18 |
18 |
||
182 |
100% |
35.111 |
2022-04-24 |
2A.ml - Classification binaire avec features textuelles - correction |
True |
39.323 |
23 |
23 |
23 |
|
183 |
100% |
14.351 |
2022-05-13 |
True |
18.907 |
6 |
6 |
6 |
||
184 |
100% |
43.163 |
2022-05-13 |
True |
47.426 |
36 |
36 |
36 |
||
185 |
90% |
166.260 |
2022-05-13 |
True |
170.446 |
42 |
38 |
38 |
||
186 |
100% |
0.138 |
2022-05-13 |
True |
4.090 |
6 |
6 |
6 |
||
187 |
100% |
0.203 |
2022-05-13 |
True |
4.161 |
6 |
6 |
6 |
||
188 |
100% |
8.536 |
2022-05-13 |
True |
12.477 |
8 |
8 |
8 |
||
189 |
100% |
117.379 |
2022-05-13 |
2A.algo - Plus proches voisins en grande dimension - correction |
True |
121.442 |
20 |
20 |
20 |
|
190 |
100% |
0.146 |
2022-05-13 |
True |
4.097 |
6 |
6 |
6 |
||
191 |
100% |
0.247 |
2022-05-13 |
True |
4.278 |
5 |
5 |
5 |
||
192 |
100% |
0.762 |
2022-05-13 |
True |
4.722 |
6 |
6 |
6 |
||
193 |
100% |
0.138 |
2022-05-13 |
True |
4.141 |
6 |
6 |
6 |
||
194 |
100% |
39.793 |
2022-04-24 |
True |
43.961 |
29 |
29 |
29 |
||
195 |
100% |
23.466 |
2022-04-24 |
True |
28.471 |
6 |
6 |
6 |
||
196 |
100% |
4.753 |
2022-04-24 |
True |
8.962 |
11 |
11 |
11 |
||
197 |
100% |
36.217 |
2022-04-24 |
True |
40.400 |
40 |
40 |
40 |
||
198 |
100% |
2.567 |
2022-05-13 |
True |
6.569 |
14 |
14 |
14 |
||
199 |
100% |
7.274 |
2022-05-13 |
True |
11.199 |
15 |
15 |
15 |
||
200 |
100% |
4.592 |
2022-05-13 |
2A.eco - Rappel de ce que vous savez déjà mais avez peut-être oublié |
True |
8.594 |
29 |
29 |
29 |
|
201 |
100% |
18.444 |
2022-05-13 |
td2a_eco/td2a_TD5_Traitement_automatique_des_langues_en_Python.ipynb |
True |
22.707 |
34 |
34 |
34 |
|
202 |
100% |
31.932 |
2022-05-13 |
td2a_eco/td2a_TD5_Traitement_automatique_des_langues_en_Python_correction.ipynb |
2A.eco - Traitement automatique de la langue en Python - correction |
True |
36.090 |
35 |
35 |
35 |
203 |
100% |
0.000 |
2022-05-13 |
True |
3.898 |
1 |
1 |
1 |
||
204 |
100% |
1.393 |
2022-05-13 |
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 |
5.303 |
3 |
3 |
3 |
205 |
100% |
3.981 |
2022-05-13 |
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 |
7.934 |
10 |
10 |
10 |
206 |
100% |
8.623 |
2022-05-13 |
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 |
12.614 |
16 |
16 |
16 |
207 |
100% |
9.649 |
2022-05-13 |
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 |
13.612 |
14 |
14 |
14 |
208 |
100% |
29.716 |
2022-05-13 |
True |
33.712 |
12 |
12 |
12 |
||
209 |
100% |
4.020 |
2022-05-13 |
True |
8.056 |
26 |
26 |
26 |
||
210 |
100% |
5.762 |
2022-05-13 |
True |
10.421 |
36 |
36 |
36 |
||
211 |
100% |
38.166 |
2022-04-24 |
True |
42.406 |
29 |
29 |
29 |
||
212 |
100% |
38.590 |
2022-04-24 |
True |
43.011 |
29 |
29 |
29 |
||
213 |
0% |
nan |
td2a_eco2/td2a_eco_5d_Travailler_du_texte_les_expressions_regulieres.ipynb |
nan |
26 |
0 |
||||
214 |
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 |
|||
215 |
100% |
50.718 |
2022-04-24 |
td2a_eco2/td2a_eco_NLP_tf_idf_ngrams_LDA_word2vec_sur_des_extraits_litteraires.ipynb |
True |
55.033 |
69 |
69 |
69 |
|
216 |
100% |
527.399 |
2022-05-13 |
True |
531.585 |
37 |
37 |
37 |
||
217 |
100% |
678.368 |
2022-04-24 |
True |
682.663 |
28 |
28 |
28 |
||
218 |
100% |
189.626 |
2022-05-13 |
True |
194.347 |
22 |
22 |
22 |
||
219 |
100% |
17.392 |
2022-05-13 |
True |
21.492 |
41 |
41 |
41 |
||
220 |
100% |
0.400 |
2022-05-13 |
2A.ml - Boosting, random forest, gradient - les features qu’ils aiment |
True |
4.394 |
4 |
4 |
4 |
|
221 |
100% |
8.513 |
2022-05-13 |
True |
12.530 |
27 |
27 |
27 |
||
222 |
100% |
132.278 |
2022-05-13 |
Hyperparamètres, LassoRandomForestRregressor et grid_search (correction) |
True |
136.260 |
15 |
15 |
15 |
|
223 |
100% |
5.618 |
2022-05-13 |
Hyperparamètres, LassoRandomForestRregressor et grid_search (énoncé) |
True |
9.931 |
4 |
4 |
4 |
|
224 |
100% |
4.028 |
2022-05-13 |
True |
7.990 |
12 |
12 |
12 |
||
225 |
100% |
17.432 |
2022-05-13 |
Rappels sur scikit-learn et le machine learning (correction) |
True |
21.912 |
21 |
21 |
21 |
|
226 |
100% |
28.432 |
2022-05-13 |
True |
32.732 |
42 |
42 |
42 |
||
227 |
100% |
111.830 |
2022-04-24 |
True |
125.123 |
18 |
18 |
18 |
||
228 |
100% |
179.956 |
2022-04-24 |
True |
194.500 |
16 |
16 |
16 |
||
229 |
100% |
5.079 |
2022-05-13 |
True |
9.125 |
9 |
9 |
9 |
||
230 |
100% |
5.859 |
2022-05-13 |
True |
9.835 |
6 |
6 |
6 |
||
231 |
100% |
57.139 |
2022-05-13 |
True |
61.150 |
25 |
25 |
25 |
||
232 |
100% |
65.108 |
2022-05-13 |
2A.data - Classification, régression, anomalies - correction |
True |
69.176 |
33 |
33 |
33 |
|
233 |
100% |
1657.597 |
2022-04-24 |
2A.ml - Statistiques descriptives avec scikit-learn - correction |
True |
1662.127 |
24 |
24 |
24 |
|
234 |
100% |
628.926 |
2022-04-24 |
True |
633.736 |
26 |
26 |
26 |
||
235 |
100% |
209.830 |
2022-05-13 |
True |
213.940 |
26 |
26 |
26 |
||
236 |
100% |
6.612 |
2022-05-13 |
True |
10.586 |
9 |
9 |
9 |
||
237 |
96% |
17.725 |
2022-04-24 |
True |
21.801 |
31 |
30 |
30 |
||
238 |
100% |
0.147 |
2022-04-24 |
True |
4.276 |
2 |
2 |
2 |
||
239 |
100% |
33.841 |
2022-05-13 |
2A.ml - Pipeline pour un réduction d’une forêt aléatoire - correction |
True |
37.825 |
24 |
24 |
24 |
|
240 |
100% |
7.786 |
2022-05-13 |
2A.ml - Pipeline pour un réduction d’une forêt aléatoire - énoncé |
True |
12.878 |
11 |
11 |
11 |
|
241 |
100% |
6.343 |
2022-05-13 |
True |
10.920 |
6 |
6 |
6 |
||
242 |
100% |
34.666 |
2022-05-13 |
True |
38.679 |
44 |
44 |
44 |
||
243 |
100% |
8.834 |
2022-05-13 |
True |
12.745 |
15 |
15 |
15 |
||
244 |
100% |
27.241 |
2022-05-13 |
True |
31.271 |
15 |
15 |
15 |
||
245 |
100% |
169.689 |
2022-05-13 |
True |
174.030 |
19 |
19 |
19 |
||
246 |
100% |
5.483 |
2022-05-13 |
True |
9.545 |
8 |
8 |
8 |
