|
RAR-files |
| linkedin.learning.text.analytics.and.predictions.with.python.essential.training-apollo.rar |
10,000,000 |
92492B83 |
| linkedin.learning.text.analytics.and.predictions.with.python.essential.training-apollo.r00 |
10,000,000 |
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| linkedin.learning.text.analytics.and.predictions.with.python.essential.training-apollo.r01 |
10,000,000 |
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| linkedin.learning.text.analytics.and.predictions.with.python.essential.training-apollo.r02 |
10,000,000 |
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| linkedin.learning.text.analytics.and.predictions.with.python.essential.training-apollo.r03 |
10,000,000 |
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| linkedin.learning.text.analytics.and.predictions.with.python.essential.training-apollo.r04 |
10,000,000 |
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| linkedin.learning.text.analytics.and.predictions.with.python.essential.training-apollo.r05 |
10,000,000 |
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| linkedin.learning.text.analytics.and.predictions.with.python.essential.training-apollo.r06 |
6,706,017 |
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|
| Total size: |
76,706,017 |
|
|
| Archived
files |
|
01. The need for text mining skills in data science - 66s.mp4 |
21,103,958 |
791397C4 |
|
02. Introduction to text analytics - 83s.mp4 |
2,536,625 |
DAB24391 |
|
03. Course prerequisites - 59s.mp4 |
1,810,097 |
B4B14581 |
|
04. Using Jupyter Notebook - 131s.mp4 |
5,359,621 |
BC4C4D6C |
|
05. Word Cloud concepts - 62s.mp4 |
2,271,408 |
2C5DF395 |
|
06. Preparing data for a word cloud - 84s.mp4 |
3,549,190 |
9674AEE2 |
|
07. Displaying the word cloud - 64s.mp4 |
2,194,434 |
13E8083D |
|
08. Enhancing the word cloud - 60s.mp4 |
2,271,747 |
3FA62BC1 |
|
09. Purpose - 115s.mp4 |
3,280,258 |
4A78DE27 |
|
10. Preparing data for sentiment analysis - 61s.mp4 |
2,592,774 |
A8353DE7 |
|
11. Finding sentiments - 89s.mp4 |
3,424,433 |
54F44D16 |
|
12. Summarization and display - 89s.mp4 |
3,283,799 |
7D5C0AA6 |
|
13. Purpose - 105s.mp4 |
3,313,494 |
BBF6C41B |
|
14. Preparing data for clustering - 110s.mp4 |
4,250,795 |
521AF90B |
|
15. k-means clustering - 75s.mp4 |
2,797,404 |
BE02D6C0 |
|
16. k-means optimization - 69s.mp4 |
2,520,922 |
A4E9AC6C |
|
17. Purpose - 103s.mp4 |
3,043,163 |
9140FB90 |
|
18. Preparing data for classification - 153s.mp4 |
6,958,082 |
7139EE06 |
|
19. Naïve |
3,063,468 |
A265852F |
|
20. Predictions for text - 75s.mp4 |
2,769,924 |
E494D2AA |
|
21. Predictive text concepts - 99s.mp4 |
3,200,344 |
95304D04 |
|
22. Preparing data for predictive text - 70s.mp4 |
3,236,872 |
25B440B4 |
|
23. Building n-grams database - 104s.mp4 |
4,198,915 |
05C393FD |
|
24. Recommending next word - 92s.mp4 |
3,420,332 |
6E1EFB01 |
|
25. Next steps - 36s.mp4 |
2,010,630 |
32D70F8C |
|
Ex_Files_Text_Analytics_Predictions_Python_EssT.zip |
114,923 |
8EDF7EA5 |
|
| Total size: |
98,577,612 |
|
|
