|
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 |
1.74KB |
| 1 |
462.43KB |
| 1. Create DataFrame in R.mp4 |
51.72MB |
| 1. Create DataFrame in R.srt |
9.47KB |
| 1. Install R and R-Studio for Data Science.mp4 |
20.77MB |
| 1. Install R and R-Studio for Data Science.srt |
4.51KB |
| 1. Introduction to GGPlot2.mp4 |
82.52MB |
| 1. Jupyter Notebook Introduction.mp4 |
40.54MB |
| 1. Variable Assignments.mp4 |
36.27MB |
| 1. Variable Assignments.srt |
5.31KB |
| 10 |
955.56KB |
| 10. Bind Rows rbind() and bind_rows().mp4 |
64.45MB |
| 10. Bind Rows rbind() and bind_rows().srt |
9.20KB |
| 10. Loading the Boston Housing Price Dataset for Visualization.mp4 |
44.82MB |
| 10. Strings Assignment.mp4 |
37.04MB |
| 10. Strings Assignment.srt |
5.00KB |
| 11 |
566.41KB |
| 11. Bind Columns cbind() and bind_cols().mp4 |
20.71MB |
| 11. Bind Columns cbind() and bind_cols().srt |
3.88KB |
| 11. paste() Function for String Manipulation.mp4 |
34.19MB |
| 11. paste() Function for String Manipulation.srt |
5.24KB |
| 11. Scatter Plot for Boston Housing Data.mp4 |
28.61MB |
| 12 |
631.22KB |
| 12. Data Frame Selection and Indexing.mp4 |
39.93MB |
| 12. Data Frame Selection and Indexing.srt |
6.22KB |
| 12. format() Function for Numeric Data Formatting.mp4 |
33.73MB |
| 12. format() Function for Numeric Data Formatting.srt |
3.91KB |
| 12. Pair Plot - Scatter Matrix Plot for Boston Housing Dataset.mp4 |
62.38MB |
| 13 |
945.21KB |
| 13. Colon () Operator for Vector Generation.mp4 |
53.15MB |
| 13. Colon () Operator for Vector Generation.srt |
8.24KB |
| 13. Conditional DataFrame Selection with subset().mp4 |
70.30MB |
| 13. Conditional DataFrame Selection with subset().srt |
8.67KB |
| 13. Load Titanic Dataset for Visualization.mp4 |
37.00MB |
| 14 |
985.59KB |
| 14. Data Cleaning and Bar Plot.mp4 |
54.23MB |
| 14. Using [] Operator and c() Function to Access Vector Elements.mp4 |
29.04MB |
| 14. Using [] Operator and c() Function to Access Vector Elements.srt |
4.69KB |
| 14. Working with DateTime in DataFrame.mp4 |
94.54MB |
| 14. Working with DateTime in DataFrame.srt |
11.04KB |
| 15 |
142.35KB |
| 15. Export DataFrame in .CSV File.mp4 |
37.24MB |
| 15. Export DataFrame in .CSV File.srt |
4.37KB |
| 15. Scatter Plot for Titanic Dataset.mp4 |
26.34MB |
| 15. Vector Manipulation.mp4 |
52.57MB |
| 15. Vector Manipulation.srt |
9.19KB |
| 16 |
477.01KB |
| 16. Data Frame Sorting.mp4 |
19.70MB |
| 16. Data Frame Sorting.srt |
2.67KB |
| 16. Histogram Plot.mp4 |
29.25MB |
| 16. List Creation.mp4 |
23.81MB |
| 16. List Creation.srt |
4.23KB |
| 17 |
703.72KB |
| 17. Groupby on DataFrame in R.mp4 |
85.03MB |
| 17. Groupby on DataFrame in R.srt |
11.19KB |
| 17. Named List.mp4 |
22.34MB |
| 17. Named List.srt |
4.40KB |
| 17. Stacked Histogram.mp4 |
38.52MB |
| 18 |
767.31KB |
| 18. Data Frame Merge and Join Inner Join.mp4 |
142.66MB |
| 18. Data Frame Merge and Join Inner Join.srt |
16.04KB |
| 18. Density Plot.mp4 |
35.34MB |
| 18. List Manipulation and Merging.mp4 |
37.97MB |
| 18. List Manipulation and Merging.srt |
7.00KB |
| 19 |
1.23KB |
| 19. Box Plot.mp4 |
33.71MB |
| 19. Left, Right, and Outer Merge (Join) of DataFrame in R.mp4 |
83.51MB |
| 19. Left, Right, and Outer Merge (Join) of DataFrame in R.srt |
10.48KB |
| 19. List to Vectors and Vectors to List.mp4 |
27.83MB |
| 19. List to Vectors and Vectors to List.srt |
5.05KB |
| 2 |
785.48KB |
| 2.1 Udemy.zip |
6.10MB |
| 2. Anaconda Installation for Windows 10.mp4 |
35.14MB |
| 2. Download Code Files Do Not Skip This.html |
52B |
| 2. Get the DataFrame Details.mp4 |
47.97MB |
| 2. Get the DataFrame Details.srt |
7.93KB |
| 2. R Packages Installation and Loading.mp4 |
32.08MB |
| 2. Rules of Variable Names in R.mp4 |
56.00MB |
| 2. Rules of Variable Names in R.srt |
9.72KB |
| 20 |
791.95KB |
| 20. Introduction to Matrix.mp4 |
43.33MB |
| 20. Introduction to Matrix.srt |
8.03KB |
| 20. Violin Plot.mp4 |
19.51MB |
| 21 |
871.60KB |
| 21. Arithmetic Operations on Matrix.mp4 |
45.24MB |
| 21. Arithmetic Operations on Matrix.srt |
8.39KB |
| 22 |
1002.29KB |
| 22. Arrays Introductions.mp4 |
31.00MB |
| 22. Arrays Introductions.srt |
5.72KB |
| 23 |
437.61KB |
| 23. Arrays Naming and Accessing the Values.mp4 |
80.61MB |
| 23. Arrays Naming and Accessing the Values.srt |
12.59KB |
| 24 |
20.63KB |
| 24. Factors in R.mp4 |
56.25MB |
| 24. Factors in R.srt |
7.62KB |
| 25 |
288.09KB |
| 25. If If-Else and If-Else-If Statements.mp4 |
37.64MB |
| 25. If If-Else and If-Else-If Statements.srt |
8.47KB |
| 26 |
780.68KB |
| 26. repeat() and while() Loops.mp4 |
30.32MB |
| 26. repeat() and while() Loops.srt |
8.13KB |
| 27 |
377.68KB |
| 27. for() Loop.mp4 |
25.14MB |
| 27. for() Loop.srt |
6.07KB |
| 28 |
28.09KB |
| 28. next Statement and break Statement.mp4 |
26.80MB |
| 28. next Statement and break Statement.srt |
6.07KB |
| 29 |
884.41KB |
| 3 |
994.79KB |
| 3. Anaconda Installation for Linux.mp4 |
22.40MB |
| 3. Arithmetic Operators.mp4 |
29.23MB |
| 3. Arithmetic Operators.srt |
5.13KB |
| 3. Covid-19 Dataset Loading.mp4 |
79.97MB |
| 3. R-Studio Introduction.mp4 |
61.08MB |
| 3. R-Studio Introduction.srt |
9.75KB |
| 3. Working with [, [[ and $ Operator.mp4 |
26.60MB |
| 3. Working with [, [[ and $ Operator.srt |
5.02KB |
| 30 |
779.57KB |
| 31 |
49.16KB |
| 32 |
188.79KB |
| 33 |
752.81KB |
| 34 |
670.41KB |
| 35 |
687.19KB |
| 36 |
201.26KB |
| 37 |
192.89KB |
| 38 |
467.88KB |
| 39 |
688.08KB |
| 4 |
506.44KB |
| 4. Access DataFrames Like Matrix.mp4 |
40.33MB |
| 4. Access DataFrames Like Matrix.srt |
7.47KB |
| 4. Bar Plot - Top 10 Worst Hit Countries.mp4 |
44.26MB |
| 4. R 4.x Installation in Anaconda with Jupyter Notebook.mp4 |
79.44MB |
| 4. Relational Operators.mp4 |
30.19MB |
| 4. Relational Operators.srt |
5.58KB |
| 40 |
76.00KB |
| 41 |
492.87KB |
| 42 |
26.04KB |
| 43 |
373.18KB |
| 44 |
776.31KB |
| 45 |
982.67KB |
| 46 |
4.78KB |
| 47 |
752.13KB |
| 48 |
935.93KB |
| 49 |
674.74KB |
| 5 |
486.41KB |
| 5. Add Title, Subtitle and Caption in GGPlot.mp4 |
42.80MB |
| 5. Jupyter Notebook Shortcuts Part 1.mp4 |
31.89MB |
| 5. Logical Operators.mp4 |
60.86MB |
| 5. Logical Operators.srt |
10.11KB |
| 5. Modify a DataFrame.mp4 |
34.61MB |
| 5. Modify a DataFrame.srt |
5.16KB |
| 50 |
881.65KB |
| 51 |
397.42KB |
| 52 |
829.05KB |
| 53 |
274.89KB |
| 54 |
293.87KB |
| 55 |
944.09KB |
| 56 |
111.59KB |
| 57 |
1022.39KB |
| 58 |
692.14KB |
| 59 |
833.24KB |
| 6 |
396.58KB |
| 6. Assignment Operators.mp4 |
16.47MB |
| 6. Assignment Operators.srt |
2.71KB |
| 6. Change Title and Caption Style- Font Size, Color and Face.mp4 |
24.69MB |
| 6. Jupyter Notebook Shortcuts Part 2.mp4 |
53.02MB |
| 6. Loading a DataFrame from .CSV File.mp4 |
46.14MB |
| 6. Loading a DataFrame from .CSV File.srt |
6.87KB |
| 60 |
764.45KB |
| 61 |
792.50KB |
| 62 |
978.13KB |
| 63 |
397.02KB |
| 64 |
179.04KB |
| 65 |
207.12KB |
| 66 |
412.77KB |
| 67 |
677.72KB |
| 68 |
877.95KB |
| 69 |
320.12KB |
| 7 |
27.68KB |
| 7. Change Text Position and Increase Figure Size.mp4 |
58.31MB |
| 7. Jupyter Notebook Shortcuts Part 3.mp4 |
65.07MB |
| 7. Load DataFrame from Excel .xlsx File.mp4 |
50.63MB |
| 7. Load DataFrame from Excel .xlsx File.srt |
6.72KB |
| 7. Miscellaneous Operators.mp4 |
41.81MB |
| 7. Miscellaneous Operators.srt |
6.05KB |
| 70 |
190.21KB |
| 71 |
617.13KB |
| 72 |
679.05KB |
| 73 |
240.46KB |
| 74 |
293.07KB |
| 75 |
305.06KB |
| 76 |
501.18KB |
| 77 |
545.73KB |
| 8 |
574.63KB |
| 8. Function in R.mp4 |
51.98MB |
| 8. Function in R.srt |
7.72KB |
| 8. Jupyter Notebook Shortcuts Part 4.mp4 |
36.09MB |
| 8. Loading a DataFrame from .XML File.mp4 |
61.04MB |
| 8. Loading a DataFrame from .XML File.srt |
7.26KB |
| 8. Scatter Plot (Point Plot) for Covid-19 Dataset.mp4 |
43.35MB |
| 9 |
716.54KB |
| 9. Data Types in R.mp4 |
51.24MB |
| 9. Data Types in R.srt |
7.69KB |
| 9. Line Plot for Covid-19 Data Confirmed, Recovered and Deaths Analysis.mp4 |
59.53MB |
| 9. Loading a DataFrame from .json File.mp4 |
44.95MB |
| 9. Loading a DataFrame from .json File.srt |
5.97KB |
| 9. R Coding Practice with Jupyter Notebook vs R-Studio.mp4 |
92.23MB |
| TutsNode.com.txt |
63B |