UDEMY Decision Trees Random Forests Bagging and XGBoost R Studio BOOKWARE-iLEARN | Apps-Tutorials | MP4 | 2.45 GiB
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iLEARN source: https://www.udemy.com/course/machine-learning-advanced-decision-trees-in-r/ looking for locations in: 10 GBit .SE 10 GBit .NO and other european locations
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
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Keywords: UDEMY, Decision, Trees, Random, Forests, Bagging, and, XGBoost, Studio, BOOKWARE, iLEARNDownload from Nitroflare
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