UDEMY Decision Trees Random Forests Bagging and XGBoost R Studio BOOKWARE-iLEARN

By Pacman On Jun 24, 2022

UDEMY Decision Trees Random Forests Bagging and XGBoost R Studio BOOKWARE-iLEARN | Apps-Tutorials | MP4 | 2.45 GiB

823 kb/s 1280×720 | AAC 128 kb/s 2 CH

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iLEARN
source: https://www.udemy.com/course/machine-learning-advanced-decision-trees-in-r/
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File List (Click to Show)

19M	1. Welcome to the Course!.mp4
97M	10. Creating Barplots in R.mp4
43M	11. Creating Histograms in R.mp4
110M	12. Introduction, Key concepts and Examples.mp4
40M	13. Steps in building an ML model.mp4
43M	14. Basics of Decision Trees.mp4
44M	15. Understanding a Regression Tree.mp4
14M	16. The stopping criteria for controlling tree growth.mp4
38M	17. The Data set for the Course.mp4
44M	18. Importing the Data set into R.mp4
44M	19. Splitting Data into Test and Train Set in R.mp4
104M	21. Building a Regression Tree in R.mp4
19M	22. Pruning a tree.mp4
83M	23. Pruning a Tree in R.mp4
34M	24. Classification Trees.mp4
22M	25. The Data set for Classification problem.mp4
86M	26. Building a classification Tree in R.mp4
7.8M	27. Advantages and Disadvantages of Decision Trees.mp4
33M	28. Bagging.mp4
59M	29. Bagging in R.mp4
36M	3. Installing R and R studio.mp4
22M	30. Random Forest technique.mp4
31M	31. Random Forest in R.mp4
35M	32. Boosting techniques.mp4
70M	33. Gradient Boosting in R.mp4
104M	34. AdaBoosting in R.mp4
187M	35. XGBoosting in R.mp4
15M	36. Gathering Business Knowledge.mp4
21M	37. Data Exploration.mp4
70M	38. The Data and the Data Dictionary.mp4
14M	39. Importing the dataset into R.mp4
21M	4. This is a milestone!.mp4
25M	40. Univariate Analysis and EDD.mp4
97M	41. EDD in R.mp4
25M	42. Outlier Treatment.mp4
31M	43. Outlier Treatment in R.mp4
25M	44. Missing Value imputation.mp4
26M	45. Missing Value imputation in R.mp4
18M	46. Seasonality in Data.mp4
101M	47. Bi-variate Analysis and Variable Transformation.mp4
56M	48. Variable transformation in R.mp4
21M	49. Non Usable Variables.mp4
39M	5. Basics of R and R studio.mp4
37M	50. Dummy variable creation Handling qualitative data.mp4
44M	51. Dummy variable creation in R.mp4
72M	52. Correlation Matrix and cause-effect relationship.mp4
84M	53. Correlation Matrix in R.mp4
12M	54. The final milestone!.mp4
83M	6. Packages in R.mp4
41M	7. Inputting data part 1 Inbuilt datasets of R.mp4
26M	8. Inputting data part 2 Manual data entry.mp4
61M	9. Inputting data part 3 Importing from CSV or Text files.mp4
2.5G	total

File: 1. Welcome to the Course!.mp4
Size: 19324075 bytes (18.43 MiB), duration: 00:03:07, avg.bitrate: 827 kb/s
Audio: aac, 44100 Hz, stereo (und)
Video: h264, yuv420p, 1280x720, 30.00 fps(r) => 1279x720 (und)

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Keywords: UDEMY, Decision, Trees, Random, Forests, Bagging, and, XGBoost, Studio, BOOKWARE, iLEARN

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