1. Introduction.mp4 (24.45 MB)
10. Basics of R and R studio.mp4 (38.84 MB)
11. Packages in R.mp4 (82.96 MB)
12. Inputting data part 1 Inbuilt datasets of R.mp4 (40.74 MB)
13. Inputting data part 2 Manual data entry.mp4 (25.51 MB)
14. Inputting data part 3 Importing from CSV or Text files.mp4 (60.09 MB)
15. Creating Barplots in R.mp4 (96.75 MB)
16. Creating Histograms in R.mp4 (42 MB)
17. Gathering Business Knowledge.mp4 (14.53 MB)
18. Data Exploration.mp4 (20.11 MB)
19. The Data and the Data Dictionary.mp4 (69.33 MB)
20. Importing the dataset into R.mp4 (13.1 MB)
21. Univariate Analysis and EDD.mp4 (24.21 MB)
22. EDD in R.mp4 (96.98 MB)
23. Outlier Treatment.mp4 (24.47 MB)
24. Outlier Treatment in R.mp4 (30.73 MB)
25. Missing Value imputation.mp4 (24.98 MB)
26. Missing Value imputation in R.mp4 (26 MB)
27. Seasonality in Data.mp4 (17.02 MB)
28. Bi variate Analysis and Variable Transformation.mp4 (100.46 MB)
29. Variable transformation in R.mp4 (55.42 MB)
3. Types of Data.mp4 (21.76 MB)
30. Non Usable Variables.mp4 (20.24 MB)
31. Dummy variable creation Handling qualitative data.mp4 (36.81 MB)
32. Dummy variable creation in R.mp4 (44.01 MB)
33. Correlation Matrix and cause effect relationship.mp4 (71.58 MB)
34. Correlation Matrix in R.mp4 (83.15 MB)
35. The problem statement.mp4 (9.38 MB)
36. Basic equations and Ordinary Least Squared (OLS) method.mp4 (43.37 MB)
37. Assessing Accuracy of predicted coefficients.mp4 (92.09 MB)
38. Assessing Model Accuracy RSE and R squared.mp4 (43.61 MB)
39. Simple Linear Regression in R.mp4 (40.82 MB)
4. This is a milestone!.mp4 (20.67 MB)
40. Multiple Linear Regression.mp4 (34.31 MB)
41. The F statistic.mp4 (56.02 MB)
42. Interpreting result for categorical Variable.mp4 (22.49 MB)
43. Multiple Linear Regression in R.mp4 (62.39 MB)
44. Test Train split.mp4 (41.87 MB)
45. Bias Variance trade off.mp4 (25.1 MB)
47. Test Train Split in R.mp4 (75.65 MB)
48. The Data and the Data Dictionary.mp4 (79.02 MB)
49. Importing the dataset into R.mp4 (13.46 MB)
5. Types of Statistics.mp4 (10.93 MB)
50. EDD in R.mp4 (66.51 MB)
51. Outlier Treatment in R.mp4 (25.36 MB)
52. Missing Value imputation in R.mp4 (19.05 MB)
53. Variable transformation in R.mp4 (38.03 MB)
54. Dummy variable creation in R.mp4 (44.36 MB)
55. Why can't we use Linear Regression.mp4 (16.93 MB)
56. Logistic Regression.mp4 (32.92 MB)
57. Training a Simple Logistic model in R.mp4 (25.54 MB)
58. Results of Simple Logistic Regression.mp4 (26.93 MB)
59. Logistic with multiple predictors.mp4 (8.53 MB)
6. Describing the data graphically.mp4 (65.34 MB)
60. Training multiple predictor Logistic model in R.mp4 (15.78 MB)
61. Confusion Matrix.mp4 (21.11 MB)
62. Evaluating Model performance.mp4 (35.19 MB)
63. Predicting probabilities, assigning classes and making Confusion Matrix.mp4 (55.69 MB)
64. Test Train Split.mp4 (39.29 MB)
65. Test Train Split in R.mp4 (74.23 MB)
66. The final milestone!.mp4 (11.87 MB)
7. Measures of Centers.mp4 (38.58 MB)
8. Measures of Dispersion.mp4 (22.86 MB)
9. Installing R and R studio.mp4 (35.69 MB)