|
Please note that this page does not hosts or makes available any of the listed filenames. You
cannot download any of those files from here.
|
| [TGx]Downloaded from torrentgalaxy.to .txt |
585B |
| 0 |
274.02KB |
| 1 |
480.48KB |
| 1. Assignment operator in R.mp4 |
15.75MB |
| 1. Assignment operator in R.srt |
1.34KB |
| 1. Important Terms in Text Mining.mp4 |
34.93MB |
| 1. Important Terms in Text Mining.srt |
2.82KB |
| 1. Interface of R-studio.mp4 |
60.45MB |
| 1. Interface of R-studio.srt |
10.97KB |
| 1. Introduction.mp4 |
17.46MB |
| 1. Introduction.srt |
1.19KB |
| 1. Loops in R.mp4 |
26.80MB |
| 1. Loops in R.srt |
2.28KB |
| 1. Math in R.mp4 |
19.63MB |
| 1. Math in R.srt |
5.65KB |
| 1. Text Mining in R.mp4 |
83.82MB |
| 1. Text Mining in R.srt |
7.44KB |
| 1. Theory Introduction to the dplyr package.mp4 |
19.77MB |
| 1. Theory Introduction to the dplyr package.srt |
1.72KB |
| 1. Tools for webscraping in R.mp4 |
119.64MB |
| 1. Tools for webscraping in R.srt |
11.64KB |
| 10 |
829.86KB |
| 10. Clean data continued...mp4 |
124.17MB |
| 10. Clean data continued...srt |
13.32KB |
| 10. Data Types and Type-casting.mp4 |
23.29MB |
| 10. Data Types and Type-casting.srt |
5.96KB |
| 10. Matrices in R.mp4 |
46.90MB |
| 10. Matrices in R.srt |
8.31KB |
| 10. Pipe operator in R (Do not miss this video).mp4 |
50.89MB |
| 10. Pipe operator in R (Do not miss this video).srt |
10.27KB |
| 100 |
256.51KB |
| 101 |
992.56KB |
| 102 |
318.04KB |
| 103 |
789.70KB |
| 104 |
695.52KB |
| 11 |
387.84KB |
| 11. Filter the data.mp4 |
30.24MB |
| 11. Filter the data.srt |
4.49KB |
| 11. Relational data.mp4 |
57.85MB |
| 11. Relational data.srt |
4.24KB |
| 12 |
581.22KB |
| 12. Data Frames in R.mp4 |
52.24MB |
| 12. Data Frames in R.srt |
4.14KB |
| 12. Get content using scraping.mp4 |
114.53MB |
| 12. Get content using scraping.srt |
11.95KB |
| 13 |
954.14KB |
| 13. Split the data.mp4 |
55.82MB |
| 13. Split the data.srt |
7.49KB |
| 13. Theory Access items from data frame.mp4 |
32.27MB |
| 13. Theory Access items from data frame.srt |
2.48KB |
| 14 |
225.12KB |
| 14. Add rows to the data frame.mp4 |
29.85MB |
| 14. Add rows to the data frame.srt |
2.32KB |
| 14. Use loops for repeated tasks.mp4 |
51.80MB |
| 14. Use loops for repeated tasks.srt |
8.64KB |
| 15 |
189.35KB |
| 15. Add columns to the data frame.mp4 |
26.82MB |
| 15. Add columns to the data frame.srt |
2.10KB |
| 15. Creating data frame.mp4 |
45.67MB |
| 15. Creating data frame.srt |
6.80KB |
| 16 |
497.97KB |
| 16. Data Frame in R.mp4 |
56.79MB |
| 16. Data Frame in R.srt |
9.81KB |
| 16. Refine the data from data frame.mp4 |
84.78MB |
| 16. Refine the data from data frame.srt |
12.94KB |
| 17 |
735.67KB |
| 17. Count rows and columns.mp4 |
14.03MB |
| 17. Count rows and columns.srt |
2.92KB |
| 17. Use data frame.mp4 |
67.68MB |
| 17. Use data frame.srt |
11.16KB |
| 18 |
885.93KB |
| 18. Factor in R.mp4 |
32.95MB |
| 18. Factor in R.srt |
5.60KB |
| 18. Theory What is corpus.mp4 |
65.36MB |
| 18. Theory What is corpus.srt |
5.36KB |
| 19 |
966.52KB |
| 19. Theory Term Document Matrix.mp4 |
16.64MB |
| 19. Theory Term Document Matrix.srt |
1.16KB |
| 2 |
313.48KB |
| 2. Common Techniques.mp4 |
87.62MB |
| 2. Common Techniques.srt |
6.74KB |
| 2. Installing rvest package in R.mp4 |
54.37MB |
| 2. Installing rvest package in R.srt |
8.92KB |
| 2. Miscellaneous operators in R.mp4 |
46.67MB |
| 2. Miscellaneous operators in R.srt |
8.49KB |
| 2. No background required!!.mp4 |
9.32MB |
| 2. No background required!!.srt |
831B |
| 2. Select function in R.mp4 |
40.54MB |
| 2. Select function in R.srt |
3.38KB |
| 2. Theory Concepts of loops.mp4 |
33.58MB |
| 2. Theory Concepts of loops.srt |
2.64KB |
| 2. Theory Installing packages in R.mp4 |
81.51MB |
| 2. Theory Installing packages in R.srt |
6.56KB |
| 2. Theory Vectors in R.mp4 |
78.06MB |
| 2. Theory Vectors in R.srt |
6.25KB |
| 2. What is web scraping.mp4 |
91.19MB |
| 2. What is web scraping.srt |
7.55KB |
| 20 |
148.11KB |
| 20. Theory Bag of Word Models.mp4 |
34.76MB |
| 20. Theory Bag of Word Models.srt |
3.09KB |
| 21 |
396.03KB |
| 21. Theory Vector Space Model.mp4 |
79.28MB |
| 21. Theory Vector Space Model.srt |
7.47KB |
| 22 |
578.55KB |
| 22. Term Frequency -- IMPORTANT.mp4 |
55.08MB |
| 22. Term Frequency -- IMPORTANT.srt |
5.35KB |
| 23 |
569.18KB |
| 23. Inverse Document Frequency model.mp4 |
57.79MB |
| 23. Inverse Document Frequency model.srt |
5.88KB |
| 24 |
1014.67KB |
| 24. Corpus and Term Document Matrix.mp4 |
73.52MB |
| 24. Corpus and Term Document Matrix.srt |
12.35KB |
| 25 |
487.36KB |
| 25. Remove Sparse terms.mp4 |
102.18MB |
| 25. Remove Sparse terms.srt |
11.65KB |
| 26 |
823.70KB |
| 26. Frequency distributions.mp4 |
77.86MB |
| 26. Frequency distributions.srt |
11.89KB |
| 27 |
869.42KB |
| 27. Theory Wordclouds in R.mp4 |
49.12MB |
| 27. Theory Wordclouds in R.srt |
3.98KB |
| 28 |
332.06KB |
| 28. Wordcloud.mp4 |
47.72MB |
| 28. Wordcloud.srt |
5.65KB |
| 29 |
430.89KB |
| 29. Clean the corpus.mp4 |
48.15MB |
| 29. Clean the corpus.srt |
8.29KB |
| 3 |
845.73KB |
| 3. Access vector items.mp4 |
71.15MB |
| 3. Access vector items.srt |
6.03KB |
| 3. Installing packages in r.mp4 |
40.09MB |
| 3. Installing packages in r.srt |
7.72KB |
| 3. Read html contents.mp4 |
55.09MB |
| 3. Read html contents.srt |
6.91KB |
| 3. Select function in R.mp4 |
53.98MB |
| 3. Select function in R.srt |
9.19KB |
| 3. table function in R.mp4 |
16.88MB |
| 3. table function in R.srt |
3.52KB |
| 3. Tokenization in R.mp4 |
43.57MB |
| 3. Tokenization in R.srt |
4.93KB |
| 3. What will you learn.mp4 |
8.58MB |
| 3. What will you learn.srt |
591B |
| 3. while loop in R.mp4 |
12.69MB |
| 3. while loop in R.srt |
3.77KB |
| 30 |
487.07KB |
| 30. Remove stop words.mp4 |
127.69MB |
| 30. Remove stop words.srt |
17.23KB |
| 31 |
658.91KB |
| 31. Season 2 of Big Bang Theory.mp4 |
62.11MB |
| 31. Season 2 of Big Bang Theory.srt |
4.79KB |
| 32 |
922.42KB |
| 32. Frequency distributions.mp4 |
77.61MB |
| 32. Frequency distributions.srt |
11.89KB |
| 33 |
294.12KB |
| 33. Plot a bar graph.mp4 |
78.13MB |
| 33. Plot a bar graph.srt |
10.98KB |
| 34 |
343.26KB |
| 34. Add theme to bar graph.mp4 |
65.58MB |
| 34. Add theme to bar graph.srt |
8.76KB |
| 35 |
913.39KB |
| 35. What is sentimental analysis.mp4 |
51.97MB |
| 35. What is sentimental analysis.srt |
3.57KB |
| 36 |
943.35KB |
| 36. How sentimental analysis work.mp4 |
65.52MB |
| 36. How sentimental analysis work.srt |
4.59KB |
| 37 |
568.08KB |
| 37. Bing and NRC lexicon.mp4 |
45.85MB |
| 37. Bing and NRC lexicon.srt |
4.28KB |
| 38 |
320.54KB |
| 38. How sentiments classification is done.mp4 |
31.00MB |
| 38. How sentiments classification is done.srt |
3.90KB |
| 39 |
906.76KB |
| 39. Tokenization.mp4 |
52.06MB |
| 39. Tokenization.srt |
8.02KB |
| 4 |
366.58KB |
| 4. Data types in R.mp4 |
48.79MB |
| 4. Data types in R.srt |
6.18KB |
| 4. Filter function in R.mp4 |
51.64MB |
| 4. Filter function in R.srt |
4.22KB |
| 4. for loop in R.mp4 |
32.48MB |
| 4. for loop in R.srt |
7.19KB |
| 4. Generating sequenced vector.mp4 |
31.60MB |
| 4. Generating sequenced vector.srt |
2.85KB |
| 4. Stemming in R.mp4 |
44.70MB |
| 4. Stemming in R.srt |
6.20KB |
| 4. Use locator to get html nodes.mp4 |
74.01MB |
| 4. Use locator to get html nodes.srt |
8.84KB |
| 4. What is R.mp4 |
46.33MB |
| 4. What is R.srt |
3.61KB |
| 40 |
151.38KB |
| 40. Theory Reshape in R.mp4 |
86.07MB |
| 40. Theory Reshape in R.srt |
6.41KB |
| 41 |
216.82KB |
| 41. Melting in R.mp4 |
87.43MB |
| 41. Melting in R.srt |
13.10KB |
| 42 |
212.21KB |
| 42. Casting in R.mp4 |
59.69MB |
| 42. Casting in R.srt |
9.21KB |
| 43 |
183.20KB |
| 43. Using bing lexicon.mp4 |
96.59MB |
| 43. Using bing lexicon.srt |
11.97KB |
| 44 |
365.36KB |
| 44. Using NRC lexicon.mp4 |
144.53MB |
| 44. Using NRC lexicon.srt |
16.46KB |
| 45 |
934.17KB |
| 45. Plot ribbon plots.mp4 |
73.20MB |
| 45. Plot ribbon plots.srt |
10.27KB |
| 46 |
943.88KB |
| 47 |
640.99KB |
| 48 |
811.44KB |
| 49 |
19.14KB |
| 5 |
479.91KB |
| 5. Assignment operator in R.mp4 |
17.62MB |
| 5. Assignment operator in R.srt |
1.38KB |
| 5. Filter function in R.mp4 |
31.71MB |
| 5. Filter function in R.srt |
4.52KB |
| 5. Natural Language Processing.mp4 |
62.71MB |
| 5. Natural Language Processing.srt |
4.98KB |
| 5. The apply function in R.mp4 |
26.14MB |
| 5. The apply function in R.srt |
2.26KB |
| 5. Using dplyr.mp4 |
38.02MB |
| 5. Using dplyr.srt |
5.36KB |
| 5. Vectors in R.mp4 |
76.44MB |
| 5. Vectors in R.srt |
14.70KB |
| 50 |
732.67KB |
| 51 |
782.81KB |
| 52 |
964.56KB |
| 53 |
35.39KB |
| 54 |
203.24KB |
| 55 |
368.21KB |
| 56 |
114.15KB |
| 57 |
899.45KB |
| 58 |
220.06KB |
| 59 |
865.47KB |
| 6 |
279.91KB |
| 6. Create multiple variables in R.mp4 |
12.23MB |
| 6. Create multiple variables in R.srt |
953B |
| 6. Data Manipulation.mp4 |
52.28MB |
| 6. Data Manipulation.srt |
6.49KB |
| 6. Text Mining Applications.mp4 |
55.64MB |
| 6. Text Mining Applications.srt |
4.67KB |
| 6. Theory Function in R.mp4 |
103.73MB |
| 6. Theory Function in R.srt |
9.28KB |
| 6. Theory List in R.mp4 |
62.66MB |
| 6. Theory List in R.srt |
4.80KB |
| 6. Theory Mutate and Transmute function in R.mp4 |
75.44MB |
| 6. Theory Mutate and Transmute function in R.srt |
6.36KB |
| 60 |
289.29KB |
| 61 |
104.65KB |
| 62 |
342.46KB |
| 63 |
685.92KB |
| 64 |
155.77KB |
| 65 |
338.62KB |
| 66 |
305.21KB |
| 67 |
438.28KB |
| 68 |
817.25KB |
| 69 |
818.47KB |
| 7 |
836.95KB |
| 7. Change column name.mp4 |
20.22MB |
| 7. Change column name.srt |
2.76KB |
| 7. Check if item exists in list.mp4 |
21.15MB |
| 7. Check if item exists in list.srt |
1.69KB |
| 7. Concatenate variables in R.mp4 |
18.65MB |
| 7. Concatenate variables in R.srt |
1.43KB |
| 7. Functions in R.mp4 |
54.21MB |
| 7. Functions in R.srt |
10.93KB |
| 7. Mutate and Transmute function in R.mp4 |
30.92MB |
| 7. Mutate and Transmute function in R.srt |
5.58KB |
| 70 |
475.55KB |
| 71 |
822.16KB |
| 72 |
932.28KB |
| 73 |
1008.08KB |
| 74 |
74.42KB |
| 75 |
247.35KB |
| 76 |
434.66KB |
| 77 |
592.27KB |
| 78 |
49.28KB |
| 79 |
533.80KB |
| 8 |
311.45KB |
| 8. Add item to the list.mp4 |
43.20MB |
| 8. Add item to the list.srt |
3.74KB |
| 8. Default argument in R.mp4 |
40.20MB |
| 8. Default argument in R.srt |
3.21KB |
| 8. Get all links.mp4 |
65.10MB |
| 8. Get all links.srt |
7.53KB |
| 8. The diff() function in R.mp4 |
33.42MB |
| 8. The diff() function in R.srt |
3.18KB |
| 8. Variables in R.mp4 |
41.20MB |
| 8. Variables in R.srt |
9.03KB |
| 80 |
748.15KB |
| 81 |
295.04KB |
| 82 |
407.50KB |
| 83 |
1022.52KB |
| 84 |
85.73KB |
| 85 |
774.81KB |
| 86 |
156.55KB |
| 87 |
182.22KB |
| 88 |
207.23KB |
| 89 |
879.26KB |
| 9 |
419.44KB |
| 9. Cleaning the data.mp4 |
100.70MB |
| 9. Cleaning the data.srt |
11.91KB |
| 9. List in R.mp4 |
58.11MB |
| 9. List in R.srt |
10.57KB |
| 9. Rule for naming a variable.mp4 |
61.08MB |
| 9. Rule for naming a variable.srt |
5.98KB |
| 9. Theory Pipe operator in R.mp4 |
154.05MB |
| 9. Theory Pipe operator in R.srt |
14.92KB |
| 90 |
731.42KB |
| 91 |
866.83KB |
| 92 |
799.18KB |
| 93 |
232.39KB |
| 94 |
378.38KB |
| 95 |
353.61KB |
| 96 |
385.76KB |
| 97 |
555.99KB |
| 98 |
120.56KB |
| 99 |
372.86KB |
| TutsNode.com.txt |
63B |