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| [TGx]Downloaded from torrentgalaxy.to .txt |
585б |
| 0 |
274.02Кб |
| 1 |
480.48Кб |
| 1. Assignment operator in R.mp4 |
15.75Мб |
| 1. Assignment operator in R.srt |
1.34Кб |
| 1. Important Terms in Text Mining.mp4 |
34.93Мб |
| 1. Important Terms in Text Mining.srt |
2.82Кб |
| 1. Interface of R-studio.mp4 |
60.45Мб |
| 1. Interface of R-studio.srt |
10.97Кб |
| 1. Introduction.mp4 |
17.46Мб |
| 1. Introduction.srt |
1.19Кб |
| 1. Loops in R.mp4 |
26.80Мб |
| 1. Loops in R.srt |
2.28Кб |
| 1. Math in R.mp4 |
19.63Мб |
| 1. Math in R.srt |
5.65Кб |
| 1. Text Mining in R.mp4 |
83.82Мб |
| 1. Text Mining in R.srt |
7.44Кб |
| 1. Theory Introduction to the dplyr package.mp4 |
19.77Мб |
| 1. Theory Introduction to the dplyr package.srt |
1.72Кб |
| 1. Tools for webscraping in R.mp4 |
119.64Мб |
| 1. Tools for webscraping in R.srt |
11.64Кб |
| 10 |
829.86Кб |
| 10. Clean data continued...mp4 |
124.17Мб |
| 10. Clean data continued...srt |
13.32Кб |
| 10. Data Types and Type-casting.mp4 |
23.29Мб |
| 10. Data Types and Type-casting.srt |
5.96Кб |
| 10. Matrices in R.mp4 |
46.90Мб |
| 10. Matrices in R.srt |
8.31Кб |
| 10. Pipe operator in R (Do not miss this video).mp4 |
50.89Мб |
| 10. Pipe operator in R (Do not miss this video).srt |
10.27Кб |
| 100 |
256.51Кб |
| 101 |
992.56Кб |
| 102 |
318.04Кб |
| 103 |
789.70Кб |
| 104 |
695.52Кб |
| 11 |
387.84Кб |
| 11. Filter the data.mp4 |
30.24Мб |
| 11. Filter the data.srt |
4.49Кб |
| 11. Relational data.mp4 |
57.85Мб |
| 11. Relational data.srt |
4.24Кб |
| 12 |
581.22Кб |
| 12. Data Frames in R.mp4 |
52.24Мб |
| 12. Data Frames in R.srt |
4.14Кб |
| 12. Get content using scraping.mp4 |
114.53Мб |
| 12. Get content using scraping.srt |
11.95Кб |
| 13 |
954.14Кб |
| 13. Split the data.mp4 |
55.82Мб |
| 13. Split the data.srt |
7.49Кб |
| 13. Theory Access items from data frame.mp4 |
32.27Мб |
| 13. Theory Access items from data frame.srt |
2.48Кб |
| 14 |
225.12Кб |
| 14. Add rows to the data frame.mp4 |
29.85Мб |
| 14. Add rows to the data frame.srt |
2.32Кб |
| 14. Use loops for repeated tasks.mp4 |
51.80Мб |
| 14. Use loops for repeated tasks.srt |
8.64Кб |
| 15 |
189.35Кб |
| 15. Add columns to the data frame.mp4 |
26.82Мб |
| 15. Add columns to the data frame.srt |
2.10Кб |
| 15. Creating data frame.mp4 |
45.67Мб |
| 15. Creating data frame.srt |
6.80Кб |
| 16 |
497.97Кб |
| 16. Data Frame in R.mp4 |
56.79Мб |
| 16. Data Frame in R.srt |
9.81Кб |
| 16. Refine the data from data frame.mp4 |
84.78Мб |
| 16. Refine the data from data frame.srt |
12.94Кб |
| 17 |
735.67Кб |
| 17. Count rows and columns.mp4 |
14.03Мб |
| 17. Count rows and columns.srt |
2.92Кб |
| 17. Use data frame.mp4 |
67.68Мб |
| 17. Use data frame.srt |
11.16Кб |
| 18 |
885.93Кб |
| 18. Factor in R.mp4 |
32.95Мб |
| 18. Factor in R.srt |
5.60Кб |
| 18. Theory What is corpus.mp4 |
65.36Мб |
| 18. Theory What is corpus.srt |
5.36Кб |
| 19 |
966.52Кб |
| 19. Theory Term Document Matrix.mp4 |
16.64Мб |
| 19. Theory Term Document Matrix.srt |
1.16Кб |
| 2 |
313.48Кб |
| 2. Common Techniques.mp4 |
87.62Мб |
| 2. Common Techniques.srt |
6.74Кб |
| 2. Installing rvest package in R.mp4 |
54.37Мб |
| 2. Installing rvest package in R.srt |
8.92Кб |
| 2. Miscellaneous operators in R.mp4 |
46.67Мб |
| 2. Miscellaneous operators in R.srt |
8.49Кб |
| 2. No background required!!.mp4 |
9.32Мб |
| 2. No background required!!.srt |
831б |
| 2. Select function in R.mp4 |
40.54Мб |
| 2. Select function in R.srt |
3.38Кб |
| 2. Theory Concepts of loops.mp4 |
33.58Мб |
| 2. Theory Concepts of loops.srt |
2.64Кб |
| 2. Theory Installing packages in R.mp4 |
81.51Мб |
| 2. Theory Installing packages in R.srt |
6.56Кб |
| 2. Theory Vectors in R.mp4 |
78.06Мб |
| 2. Theory Vectors in R.srt |
6.25Кб |
| 2. What is web scraping.mp4 |
91.19Мб |
| 2. What is web scraping.srt |
7.55Кб |
| 20 |
148.11Кб |
| 20. Theory Bag of Word Models.mp4 |
34.76Мб |
| 20. Theory Bag of Word Models.srt |
3.09Кб |
| 21 |
396.03Кб |
| 21. Theory Vector Space Model.mp4 |
79.28Мб |
| 21. Theory Vector Space Model.srt |
7.47Кб |
| 22 |
578.55Кб |
| 22. Term Frequency -- IMPORTANT.mp4 |
55.08Мб |
| 22. Term Frequency -- IMPORTANT.srt |
5.35Кб |
| 23 |
569.18Кб |
| 23. Inverse Document Frequency model.mp4 |
57.79Мб |
| 23. Inverse Document Frequency model.srt |
5.88Кб |
| 24 |
1014.67Кб |
| 24. Corpus and Term Document Matrix.mp4 |
73.52Мб |
| 24. Corpus and Term Document Matrix.srt |
12.35Кб |
| 25 |
487.36Кб |
| 25. Remove Sparse terms.mp4 |
102.18Мб |
| 25. Remove Sparse terms.srt |
11.65Кб |
| 26 |
823.70Кб |
| 26. Frequency distributions.mp4 |
77.86Мб |
| 26. Frequency distributions.srt |
11.89Кб |
| 27 |
869.42Кб |
| 27. Theory Wordclouds in R.mp4 |
49.12Мб |
| 27. Theory Wordclouds in R.srt |
3.98Кб |
| 28 |
332.06Кб |
| 28. Wordcloud.mp4 |
47.72Мб |
| 28. Wordcloud.srt |
5.65Кб |
| 29 |
430.89Кб |
| 29. Clean the corpus.mp4 |
48.15Мб |
| 29. Clean the corpus.srt |
8.29Кб |
| 3 |
845.73Кб |
| 3. Access vector items.mp4 |
71.15Мб |
| 3. Access vector items.srt |
6.03Кб |
| 3. Installing packages in r.mp4 |
40.09Мб |
| 3. Installing packages in r.srt |
7.72Кб |
| 3. Read html contents.mp4 |
55.09Мб |
| 3. Read html contents.srt |
6.91Кб |
| 3. Select function in R.mp4 |
53.98Мб |
| 3. Select function in R.srt |
9.19Кб |
| 3. table function in R.mp4 |
16.88Мб |
| 3. table function in R.srt |
3.52Кб |
| 3. Tokenization in R.mp4 |
43.57Мб |
| 3. Tokenization in R.srt |
4.93Кб |
| 3. What will you learn.mp4 |
8.58Мб |
| 3. What will you learn.srt |
591б |
| 3. while loop in R.mp4 |
12.69Мб |
| 3. while loop in R.srt |
3.77Кб |
| 30 |
487.07Кб |
| 30. Remove stop words.mp4 |
127.69Мб |
| 30. Remove stop words.srt |
17.23Кб |
| 31 |
658.91Кб |
| 31. Season 2 of Big Bang Theory.mp4 |
62.11Мб |
| 31. Season 2 of Big Bang Theory.srt |
4.79Кб |
| 32 |
922.42Кб |
| 32. Frequency distributions.mp4 |
77.61Мб |
| 32. Frequency distributions.srt |
11.89Кб |
| 33 |
294.12Кб |
| 33. Plot a bar graph.mp4 |
78.13Мб |
| 33. Plot a bar graph.srt |
10.98Кб |
| 34 |
343.26Кб |
| 34. Add theme to bar graph.mp4 |
65.58Мб |
| 34. Add theme to bar graph.srt |
8.76Кб |
| 35 |
913.39Кб |
| 35. What is sentimental analysis.mp4 |
51.97Мб |
| 35. What is sentimental analysis.srt |
3.57Кб |
| 36 |
943.35Кб |
| 36. How sentimental analysis work.mp4 |
65.52Мб |
| 36. How sentimental analysis work.srt |
4.59Кб |
| 37 |
568.08Кб |
| 37. Bing and NRC lexicon.mp4 |
45.85Мб |
| 37. Bing and NRC lexicon.srt |
4.28Кб |
| 38 |
320.54Кб |
| 38. How sentiments classification is done.mp4 |
31.00Мб |
| 38. How sentiments classification is done.srt |
3.90Кб |
| 39 |
906.76Кб |
| 39. Tokenization.mp4 |
52.06Мб |
| 39. Tokenization.srt |
8.02Кб |
| 4 |
366.58Кб |
| 4. Data types in R.mp4 |
48.79Мб |
| 4. Data types in R.srt |
6.18Кб |
| 4. Filter function in R.mp4 |
51.64Мб |
| 4. Filter function in R.srt |
4.22Кб |
| 4. for loop in R.mp4 |
32.48Мб |
| 4. for loop in R.srt |
7.19Кб |
| 4. Generating sequenced vector.mp4 |
31.60Мб |
| 4. Generating sequenced vector.srt |
2.85Кб |
| 4. Stemming in R.mp4 |
44.70Мб |
| 4. Stemming in R.srt |
6.20Кб |
| 4. Use locator to get html nodes.mp4 |
74.01Мб |
| 4. Use locator to get html nodes.srt |
8.84Кб |
| 4. What is R.mp4 |
46.33Мб |
| 4. What is R.srt |
3.61Кб |
| 40 |
151.38Кб |
| 40. Theory Reshape in R.mp4 |
86.07Мб |
| 40. Theory Reshape in R.srt |
6.41Кб |
| 41 |
216.82Кб |
| 41. Melting in R.mp4 |
87.43Мб |
| 41. Melting in R.srt |
13.10Кб |
| 42 |
212.21Кб |
| 42. Casting in R.mp4 |
59.69Мб |
| 42. Casting in R.srt |
9.21Кб |
| 43 |
183.20Кб |
| 43. Using bing lexicon.mp4 |
96.59Мб |
| 43. Using bing lexicon.srt |
11.97Кб |
| 44 |
365.36Кб |
| 44. Using NRC lexicon.mp4 |
144.53Мб |
| 44. Using NRC lexicon.srt |
16.46Кб |
| 45 |
934.17Кб |
| 45. Plot ribbon plots.mp4 |
73.20Мб |
| 45. Plot ribbon plots.srt |
10.27Кб |
| 46 |
943.88Кб |
| 47 |
640.99Кб |
| 48 |
811.44Кб |
| 49 |
19.14Кб |
| 5 |
479.91Кб |
| 5. Assignment operator in R.mp4 |
17.62Мб |
| 5. Assignment operator in R.srt |
1.38Кб |
| 5. Filter function in R.mp4 |
31.71Мб |
| 5. Filter function in R.srt |
4.52Кб |
| 5. Natural Language Processing.mp4 |
62.71Мб |
| 5. Natural Language Processing.srt |
4.98Кб |
| 5. The apply function in R.mp4 |
26.14Мб |
| 5. The apply function in R.srt |
2.26Кб |
| 5. Using dplyr.mp4 |
38.02Мб |
| 5. Using dplyr.srt |
5.36Кб |
| 5. Vectors in R.mp4 |
76.44Мб |
| 5. Vectors in R.srt |
14.70Кб |
| 50 |
732.67Кб |
| 51 |
782.81Кб |
| 52 |
964.56Кб |
| 53 |
35.39Кб |
| 54 |
203.24Кб |
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368.21Кб |
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114.15Кб |
| 57 |
899.45Кб |
| 58 |
220.06Кб |
| 59 |
865.47Кб |
| 6 |
279.91Кб |
| 6. Create multiple variables in R.mp4 |
12.23Мб |
| 6. Create multiple variables in R.srt |
953б |
| 6. Data Manipulation.mp4 |
52.28Мб |
| 6. Data Manipulation.srt |
6.49Кб |
| 6. Text Mining Applications.mp4 |
55.64Мб |
| 6. Text Mining Applications.srt |
4.67Кб |
| 6. Theory Function in R.mp4 |
103.73Мб |
| 6. Theory Function in R.srt |
9.28Кб |
| 6. Theory List in R.mp4 |
62.66Мб |
| 6. Theory List in R.srt |
4.80Кб |
| 6. Theory Mutate and Transmute function in R.mp4 |
75.44Мб |
| 6. Theory Mutate and Transmute function in R.srt |
6.36Кб |
| 60 |
289.29Кб |
| 61 |
104.65Кб |
| 62 |
342.46Кб |
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685.92Кб |
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155.77Кб |
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338.62Кб |
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305.21Кб |
| 67 |
438.28Кб |
| 68 |
817.25Кб |
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818.47Кб |
| 7 |
836.95Кб |
| 7. Change column name.mp4 |
20.22Мб |
| 7. Change column name.srt |
2.76Кб |
| 7. Check if item exists in list.mp4 |
21.15Мб |
| 7. Check if item exists in list.srt |
1.69Кб |
| 7. Concatenate variables in R.mp4 |
18.65Мб |
| 7. Concatenate variables in R.srt |
1.43Кб |
| 7. Functions in R.mp4 |
54.21Мб |
| 7. Functions in R.srt |
10.93Кб |
| 7. Mutate and Transmute function in R.mp4 |
30.92Мб |
| 7. Mutate and Transmute function in R.srt |
5.58Кб |
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475.55Кб |
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822.16Кб |
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932.28Кб |
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1008.08Кб |
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74.42Кб |
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247.35Кб |
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434.66Кб |
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592.27Кб |
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49.28Кб |
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533.80Кб |
| 8 |
311.45Кб |
| 8. Add item to the list.mp4 |
43.20Мб |
| 8. Add item to the list.srt |
3.74Кб |
| 8. Default argument in R.mp4 |
40.20Мб |
| 8. Default argument in R.srt |
3.21Кб |
| 8. Get all links.mp4 |
65.10Мб |
| 8. Get all links.srt |
7.53Кб |
| 8. The diff() function in R.mp4 |
33.42Мб |
| 8. The diff() function in R.srt |
3.18Кб |
| 8. Variables in R.mp4 |
41.20Мб |
| 8. Variables in R.srt |
9.03Кб |
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748.15Кб |
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295.04Кб |
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407.50Кб |
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1022.52Кб |
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85.73Кб |
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774.81Кб |
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156.55Кб |
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182.22Кб |
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207.23Кб |
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879.26Кб |
| 9 |
419.44Кб |
| 9. Cleaning the data.mp4 |
100.70Мб |
| 9. Cleaning the data.srt |
11.91Кб |
| 9. List in R.mp4 |
58.11Мб |
| 9. List in R.srt |
10.57Кб |
| 9. Rule for naming a variable.mp4 |
61.08Мб |
| 9. Rule for naming a variable.srt |
5.98Кб |
| 9. Theory Pipe operator in R.mp4 |
154.05Мб |
| 9. Theory Pipe operator in R.srt |
14.92Кб |
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731.42Кб |
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866.83Кб |
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232.39Кб |
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378.38Кб |
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353.61Кб |
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385.76Кб |
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555.99Кб |
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120.56Кб |
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372.86Кб |
| TutsNode.com.txt |
63б |