UDEMY SVM for Beginners Support Vector Machines in R Studio

1. Installing R and R studio.mp4 (40.73 MB)
10. Creating Histograms in R.mp4 (51.36 MB)
11. Introduction to Machine Learning.mp4 (123.23 MB)
12. Building a Machine Learning Model.mp4 (44.88 MB)
13. Course flow.mp4 (9.77 MB)
14. The Concept of a Hyperplane.mp4 (35.32 MB)
15. Maximum Margin Classifier.mp4 (26.14 MB)
16. Limitations of Maximum Margin Classifier.mp4 (12.5 MB)
17. Support Vector classifiers.mp4 (64.14 MB)
18. Limitations of Support Vector Classifiers.mp4 (12.97 MB)
19. Kernel Based Support Vector Machines.mp4 (45.73 MB)
20. The Data set for the Classification problem.mp4 (22.02 MB)
21. Importing Data into R.mp4 (65.36 MB)
22. Test Train Split.mp4 (59.39 MB)
24. Classification SVM model using Linear Kernel.mp4 (166.98 MB)
25. Hyperparameter Tuning for Linear Kernel.mp4 (70.4 MB)
26. Polynomial Kernel with Hyperparameter Tuning.mp4 (98.58 MB)
27. Radial Kernel with Hyperparameter Tuning.mp4 (67.31 MB)
28. The Data set for the Regression problem.mp4 (41.71 MB)
29. SVM based Regression Model in R.mp4 (124.05 MB)
3. Basics of R and R studio.mp4 (47.96 MB)
30. Gathering Business Knowledge.mp4 (14.52 MB)
31. Data Exploration.mp4 (20.1 MB)
32. The Data and the Data Dictionary.mp4 (69.34 MB)
33. Importing the dataset into R.mp4 (13.11 MB)
34. Univariate Analysis and EDD.mp4 (24.21 MB)
35. EDD in R.mp4 (97.01 MB)
36. Outlier Treatment.mp4 (24.49 MB)
37. Outlier Treatment in R.mp4 (30.73 MB)
38. Missing Value imputation.mp4 (24.98 MB)
39. Missing Value imputation in R.mp4 (26 MB)
4. This is a milestone!.mp4 (20.67 MB)
40. Seasonality in Data.mp4 (17.03 MB)
41. Bi variate Analysis and Variable Transformation.mp4 (100.52 MB)
42. Variable transformation in R.mp4 (55.44 MB)
43. Non Usable Variables.mp4 (20.24 MB)
44. Dummy variable creation Handling qualitative data.mp4 (36.83 MB)
45. Dummy variable creation in R.mp4 (44 MB)
46. Correlation Matrix and cause effect relationship.mp4 (71.58 MB)
47. Correlation Matrix in R.mp4 (83.14 MB)
48. The final milestone!.mp4 (11.86 MB)
5. Packages in R.mp4 (98.52 MB)
6. Inputting data part 1 Inbuilt datasets of R.mp4 (46.15 MB)
7. Inputting data part 2 Manual data entry.mp4 (30.78 MB)
8. Inputting data part 3 Importing from CSV or Text files.mp4 (68.99 MB)
9. Creating Barplots in R.mp4 (117.23 MB)

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