|
Обратите внимание, что наш сайт не размещает какие-либо файлы из списка. Вы не можете скачать
эти файлы или скачать torrent-файл.
|
| [TGx]Downloaded from torrentgalaxy.to .txt |
585б |
| 1. Quiz 1.html |
145б |
| 1. Segment - 02-introduction-to-data-science-fin.mp4 |
78.44Мб |
| 1. Segment - 02-introduction-to-data-science-fin.srt |
15.00Кб |
| 1. Segment - 20-introduction-to-python-notebook.mp4 |
62.87Мб |
| 1. Segment - 20-introduction-to-python-notebook.srt |
12.40Кб |
| 1. Segment - 30-numpy-lab-tutorial.mp4 |
140.50Мб |
| 1. Segment - 30-numpy-lab-tutorial.srt |
23.13Кб |
| 1. Segment 48 - Introduction to Scikit-Learn.mp4 |
51.02Мб |
| 1. Segment 48 - Introduction to Scikit-Learn.srt |
12.51Кб |
| 10. Segment - 11-machine-learning-applications.mp4 |
67.17Мб |
| 10. Segment - 11-machine-learning-applications.srt |
12.30Кб |
| 10. Segment - 29-matrices.mp4 |
53.45Мб |
| 10. Segment - 29-matrices.srt |
9.47Кб |
| 10. Segment 39 - Dataframe Operations (Continued).mp4 |
70.92Мб |
| 10. Segment 39 - Dataframe Operations (Continued).srt |
14.73Кб |
| 10. Segment 56 - Prediction.mp4 |
40.67Мб |
| 10. Segment 56 - Prediction.srt |
9.06Кб |
| 11. Segment - 12-machine-learning-supervised-unsupervised.mp4 |
21.23Мб |
| 11. Segment - 12-machine-learning-supervised-unsupervised.srt |
4.64Кб |
| 11. Segment 40 - Statistical Analysis, Calculations and Operations.mp4 |
106.87Мб |
| 11. Segment 40 - Statistical Analysis, Calculations and Operations.srt |
20.65Кб |
| 11. Segment 57 - Principal Component Analysis.mp4 |
43.17Мб |
| 11. Segment 57 - Principal Component Analysis.srt |
9.81Кб |
| 12. Segment - 12-types-of-machine-learning NUMBERING ISSUE, FIX.mp4 |
45.65Мб |
| 12. Segment - 12-types-of-machine-learning NUMBERING ISSUE, FIX.srt |
7.85Кб |
| 12. Segment 41 - Lab - Advanced Operations in Action.mp4 |
55.18Мб |
| 12. Segment 41 - Lab - Advanced Operations in Action.srt |
7.34Кб |
| 12. Segment 58 - Lab - Classification Algorithm.mp4 |
151.50Мб |
| 12. Segment 58 - Lab - Classification Algorithm.srt |
25.24Кб |
| 13. Segment - 13-supervised-unsupervised-learning-methodology-clustering.mp4 |
31.56Мб |
| 13. Segment - 13-supervised-unsupervised-learning-methodology-clustering.srt |
6.07Кб |
| 13. Segment 42 - Lab - Advanced Operations in Action (Continued).mp4 |
83.88Мб |
| 13. Segment 42 - Lab - Advanced Operations in Action (Continued).srt |
11.10Кб |
| 14. Segment - 14-python-vs-r.mp4 |
19.22Мб |
| 14. Segment - 14-python-vs-r.srt |
3.78Кб |
| 14. Segment 43 - Pandas Visualization and Matplotlib.mp4 |
68.33Мб |
| 14. Segment 43 - Pandas Visualization and Matplotlib.srt |
14.11Кб |
| 15. Segment - 15-tools-for-scalable-machine-learning.mp4 |
32.45Мб |
| 15. Segment - 15-tools-for-scalable-machine-learning.srt |
6.38Кб |
| 15. Segment 44 - Seaborn.mp4 |
16.69Мб |
| 15. Segment 44 - Seaborn.srt |
3.08Кб |
| 16. Segment - 16-introduction-to-python.mp4 |
58.09Мб |
| 16. Segment - 16-introduction-to-python.srt |
12.52Кб |
| 16. Segment 45 - ggplot.mp4 |
12.94Мб |
| 16. Segment 45 - ggplot.srt |
2.58Кб |
| 17. Segment - 17-more-python-details.mp4 |
50.54Мб |
| 17. Segment - 17-more-python-details.srt |
10.81Кб |
| 17. Segment 46 - Statistical Graphs.mp4 |
14.02Мб |
| 17. Segment 46 - Statistical Graphs.srt |
2.63Кб |
| 18. Segment - 18-python-examples.mp4 |
45.81Мб |
| 18. Segment - 18-python-examples.srt |
10.24Кб |
| 18. Segment 47 - Lab - Visualizations.mp4 |
79.36Мб |
| 18. Segment 47 - Lab - Visualizations.srt |
12.02Кб |
| 19. Segment - 19-anaconda-navigator.mp4 |
42.95Мб |
| 19. Segment - 19-anaconda-navigator.srt |
10.86Кб |
| 2. Segment - 03.mp4 |
13.75Мб |
| 2. Segment - 03.srt |
3.01Кб |
| 2. Segment - 21-git-and-repl.mp4 |
36.08Мб |
| 2. Segment - 21-git-and-repl.srt |
3.07Кб |
| 2. Segment 31 -review-session-python-for-data-science.mp4 |
39.13Мб |
| 2. Segment 31 -review-session-python-for-data-science.srt |
8.86Кб |
| 2. Segment 49 - Scikit-Learn Uses and Applications.mp4 |
69.26Мб |
| 2. Segment 49 - Scikit-Learn Uses and Applications.srt |
11.64Кб |
| 3. Segment - 04-doing-data-science.mp4 |
26.18Мб |
| 3. Segment - 04-doing-data-science.srt |
5.27Кб |
| 3. Segment - 22-introduction-ids-and-juypter-notebook.mp4 |
97.16Мб |
| 3. Segment - 22-introduction-ids-and-juypter-notebook.srt |
16.35Кб |
| 3. Segment 32 - Why Pandas.mp4 |
10.57Мб |
| 3. Segment 32 - Why Pandas.srt |
2.08Кб |
| 3. Segment 50 - Scikit-Learn vs. Other Tools.mp4 |
18.07Мб |
| 3. Segment 50 - Scikit-Learn vs. Other Tools.srt |
3.45Кб |
| 4. Segment - 05-problem-definitions-and-collecting-data.mp4 |
11.23Мб |
| 4. Segment - 05-problem-definitions-and-collecting-data.srt |
2.56Кб |
| 4. Segment - 23-lab-tutorials-learning-juypter-notebook.mp4 |
162.69Мб |
| 4. Segment - 23-lab-tutorials-learning-juypter-notebook.srt |
26.38Кб |
| 4. Segment 33 - Data Series.mp4 |
44.22Мб |
| 4. Segment 33 - Data Series.srt |
8.79Кб |
| 4. Segment 51 - Scikit-Learn Classes, Utils and Data Sets.mp4 |
54.14Мб |
| 4. Segment 51 - Scikit-Learn Classes, Utils and Data Sets.srt |
12.02Кб |
| 5. Segment - 06-data-pipelines-preparation-cleaning-understanding.mp4 |
22.29Мб |
| 5. Segment - 06-data-pipelines-preparation-cleaning-understanding.srt |
4.39Кб |
| 5. Segment - 24-python-loops-and-functions.mp4 |
77.85Мб |
| 5. Segment - 24-python-loops-and-functions.srt |
16.78Кб |
| 5. Segment 34 - Series, Keys and Indices.mp4 |
41.64Мб |
| 5. Segment 34 - Series, Keys and Indices.srt |
8.48Кб |
| 5. Segment 51 - Setting Up Scikit-Learn.mp4 |
8.61Мб |
| 5. Segment 51 - Setting Up Scikit-Learn.srt |
2.08Кб |
| 6. Segment - 07-model-building-validation-visualization-data-science-applications.mp4 |
42.07Мб |
| 6. Segment - 07-model-building-validation-visualization-data-science-applications.srt |
9.68Кб |
| 6. Segment - 25-python-objects-introduction.mp4 |
49.44Мб |
| 6. Segment - 25-python-objects-introduction.srt |
8.79Кб |
| 6. Segment 35 - NumPy Array vs. Panda Series.mp4 |
15.93Мб |
| 6. Segment 35 - NumPy Array vs. Panda Series.srt |
2.84Кб |
| 6. Segment 52 - Estimators and Algorithms.mp4 |
88.24Мб |
| 6. Segment 52 - Estimators and Algorithms.srt |
17.22Кб |
| 7. Segment - 08-data-science-methodology-data-analytics-tools-open-source-tools.mp4 |
37.94Мб |
| 7. Segment - 08-data-science-methodology-data-analytics-tools-open-source-tools.srt |
7.53Кб |
| 7. Segment - 26-python-numpy.mp4 |
32.40Мб |
| 7. Segment - 26-python-numpy.srt |
6.31Кб |
| 7. Segment 36 - Dataframe.mp4 |
33.97Мб |
| 7. Segment 36 - Dataframe.srt |
7.29Кб |
| 7. Segment 53 - Preprocessing and Feature Engineering.mp4 |
75.54Мб |
| 7. Segment 53 - Preprocessing and Feature Engineering.srt |
18.05Кб |
| 8. Segment - 09-data-science-future-readings.mp4 |
35.87Мб |
| 8. Segment - 09-data-science-future-readings.srt |
5.80Кб |
| 8. Segment - 27-arrays.mp4 |
125.04Мб |
| 8. Segment - 27-arrays.srt |
24.04Кб |
| 8. Segment 37 - Dataframe Operations.mp4 |
15.03Мб |
| 8. Segment 37 - Dataframe Operations.srt |
3.50Кб |
| 8. Segment 54 - Metrics.mp4 |
73.06Мб |
| 8. Segment 54 - Metrics.srt |
18.28Кб |
| 9. Segment - 10-ai-primer-and-machine-learning-concepts.mp4 |
50.56Мб |
| 9. Segment - 10-ai-primer-and-machine-learning-concepts.srt |
9.92Кб |
| 9. Segment - 28-advanced-arrays.mp4 |
88.60Мб |
| 9. Segment - 28-advanced-arrays.srt |
17.48Кб |
| 9. Segment 38 - Using Lambda.mp4 |
19.45Мб |
| 9. Segment 38 - Using Lambda.srt |
4.50Кб |
| 9. Segment 55 - Clustering.mp4 |
39.50Мб |
| 9. Segment 55 - Clustering.srt |
7.69Кб |
| TutsNode.com.txt |
63б |