[FreeCourseSite.com] Udemy - ML for Business Managers Build Regression model in R Studio

1. 7. Regression models other than OLS/6. Ridge regression and Lasso in R.mp4 124.24 MB
2. 4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 123.89 MB
3. 3. Getting started with R and R studio/7. Creating Barplots in R.mp4 117.55 MB
4. 5. Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4 113.76 MB
5. 5. Data Preprocessing/7. EDD in R.mp4 112.27 MB
6. 6. Linear Regression Model/3. Assessing Accuracy of predicted coefficients.mp4 104.44 MB
7. 3. Getting started with R and R studio/3. Packages in R.mp4 98.68 MB
8. 5. Data Preprocessing/24. Correlation Matrix in R.mp4 95.06 MB
9. 6. Linear Regression Model/17. Test-Train Split in R.mp4 91.05 MB
10. 7. Regression models other than OLS/2. Subset Selection techniques.mp4 87.12 MB
11. 5. Data Preprocessing/23. Correlation Matrix and cause-effect relationship.mp4 81.27 MB
12. 5. Data Preprocessing/3. The Data and the Data Dictionary.mp4 78.57 MB
13. 7. Regression models other than OLS/3. Subset selection in R.mp4 76.62 MB
14. 6. Linear Regression Model/11. Multiple Linear Regression in R.mp4 73.10 MB
15. 3. Getting started with R and R studio/6. Inputting data part 3 Importing from CSV or Text files.mp4 69.15 MB
16. 5. Data Preprocessing/17. Variable transformation in R.mp4 67.86 MB
17. 2. Basics of Statistics/3. Describing the data graphically.mp4 65.37 MB
18. 6. Linear Regression Model/8. The F - statistic.mp4 64.15 MB
19. 5. Data Preprocessing/21. Dummy variable creation in R.mp4 52.26 MB
20. 3. Getting started with R and R studio/8. Creating Histograms in R.mp4 51.51 MB
21. 6. Linear Regression Model/5. Simple Linear Regression in R.mp4 50.59 MB
22. 6. Linear Regression Model/2. Basic equations and Ordinary Least Squared (OLS) method.mp4 50.23 MB
23. 6. Linear Regression Model/4. Assessing Model Accuracy - RSE and R squared.mp4 49.74 MB
24. 6. Linear Regression Model/14. Test-Train split.mp4 49.16 MB
25. 3. Getting started with R and R studio/2. Basics of R and R studio.mp4 48.20 MB
26. 1. Introduction/3. Course contents.mp4 47.04 MB
27. 3. Getting started with R and R studio/4. Inputting data part 1 Inbuilt datasets of R.mp4 46.15 MB
28. 4. Introduction to Machine Learning/2. Building a Machine Learning model.mp4 45.28 MB
29. 3. Getting started with R and R studio/1. Installing R and R studio.mp4 40.84 MB
30. 5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.mp4 40.61 MB
31. 6. Linear Regression Model/7. Multiple Linear Regression.mp4 38.91 MB
32. 7. Regression models other than OLS/5. Shrinkage methods - Ridge Regression and The Lasso.mp4 38.67 MB
33. 2. Basics of Statistics/4. Measures of Centers.mp4 38.59 MB
34. 5. Data Preprocessing/10. Outlier Treatment in R.mp4 37.98 MB
35. 5. Data Preprocessing/13. Missing Value imputation in R.mp4 31.77 MB
36. 3. Getting started with R and R studio/5. Inputting data part 2 Manual data entry.mp4 30.87 MB
37. 6. Linear Regression Model/15. Bias Variance trade-off.mp4 29.59 MB
38. 5. Data Preprocessing/9. Outlier Treatment.mp4 27.76 MB
39. 5. Data Preprocessing/12. Missing Value imputation.mp4 27.56 MB
40. 5. Data Preprocessing/6. Univariate Analysis and EDD.mp4 27.30 MB
41. 6. Linear Regression Model/10. Interpreting result for categorical Variable.mp4 27.16 MB
42. 5. Data Preprocessing/1. Gathering Business Knowledge.mp4 25.12 MB
43. 5. Data Preprocessing/19. Non Usable Variables.mp4 23.95 MB
44. 5. Data Preprocessing/2. Data Exploration.mp4 23.41 MB
45. 2. Basics of Statistics/6. Measures of Dispersion.mp4 22.87 MB
46. 2. Basics of Statistics/1. Types of Data.mp4 21.77 MB
47. 5. Data Preprocessing/15. Seasonality in Data.mp4 20.90 MB
48. 1. Introduction/4. This is a milestone!.mp4 20.68 MB
49. 7. Regression models other than OLS/1. Linear models other than OLS.mp4 19.18 MB
50. 7. Regression models other than OLS/7. Heteroscedasticity.mp4 17.72 MB