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

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文件列表

  1. 7. Regression models other than OLS/6. Ridge regression and Lasso in R.mp4 124MB
  2. 4. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 124MB
  3. 3. Getting started with R and R studio/7. Creating Barplots in R.mp4 118MB
  4. 5. Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4 114MB
  5. 5. Data Preprocessing/7. EDD in R.mp4 112MB
  6. 6. Linear Regression Model/3. Assessing Accuracy of predicted coefficients.mp4 104MB
  7. 3. Getting started with R and R studio/3. Packages in R.mp4 99MB
  8. 5. Data Preprocessing/24. Correlation Matrix in R.mp4 95MB
  9. 6. Linear Regression Model/17. Test-Train Split in R.mp4 91MB
  10. 7. Regression models other than OLS/2. Subset Selection techniques.mp4 87MB
  11. 5. Data Preprocessing/23. Correlation Matrix and cause-effect relationship.mp4 81MB
  12. 5. Data Preprocessing/3. The Data and the Data Dictionary.mp4 79MB
  13. 7. Regression models other than OLS/3. Subset selection in R.mp4 77MB
  14. 6. Linear Regression Model/11. Multiple Linear Regression in R.mp4 73MB
  15. 3. Getting started with R and R studio/6. Inputting data part 3 Importing from CSV or Text files.mp4 69MB
  16. 5. Data Preprocessing/17. Variable transformation in R.mp4 68MB
  17. 2. Basics of Statistics/3. Describing the data graphically.mp4 65MB
  18. 6. Linear Regression Model/8. The F - statistic.mp4 64MB
  19. 5. Data Preprocessing/21. Dummy variable creation in R.mp4 52MB
  20. 3. Getting started with R and R studio/8. Creating Histograms in R.mp4 52MB
  21. 6. Linear Regression Model/5. Simple Linear Regression in R.mp4 51MB
  22. 6. Linear Regression Model/2. Basic equations and Ordinary Least Squared (OLS) method.mp4 50MB
  23. 6. Linear Regression Model/4. Assessing Model Accuracy - RSE and R squared.mp4 50MB
  24. 6. Linear Regression Model/14. Test-Train split.mp4 49MB
  25. 3. Getting started with R and R studio/2. Basics of R and R studio.mp4 48MB
  26. 1. Introduction/3. Course contents.mp4 47MB
  27. 3. Getting started with R and R studio/4. Inputting data part 1 Inbuilt datasets of R.mp4 46MB
  28. 4. Introduction to Machine Learning/2. Building a Machine Learning model.mp4 45MB
  29. 3. Getting started with R and R studio/1. Installing R and R studio.mp4 41MB
  30. 5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.mp4 41MB
  31. 6. Linear Regression Model/7. Multiple Linear Regression.mp4 39MB
  32. 7. Regression models other than OLS/5. Shrinkage methods - Ridge Regression and The Lasso.mp4 39MB
  33. 2. Basics of Statistics/4. Measures of Centers.mp4 39MB
  34. 5. Data Preprocessing/10. Outlier Treatment in R.mp4 38MB
  35. 5. Data Preprocessing/13. Missing Value imputation in R.mp4 32MB
  36. 3. Getting started with R and R studio/5. Inputting data part 2 Manual data entry.mp4 31MB
  37. 6. Linear Regression Model/15. Bias Variance trade-off.mp4 30MB
  38. 5. Data Preprocessing/9. Outlier Treatment.mp4 28MB
  39. 5. Data Preprocessing/12. Missing Value imputation.mp4 28MB
  40. 5. Data Preprocessing/6. Univariate Analysis and EDD.mp4 27MB
  41. 6. Linear Regression Model/10. Interpreting result for categorical Variable.mp4 27MB
  42. 5. Data Preprocessing/1. Gathering Business Knowledge.mp4 25MB
  43. 5. Data Preprocessing/19. Non Usable Variables.mp4 24MB
  44. 5. Data Preprocessing/2. Data Exploration.mp4 23MB
  45. 2. Basics of Statistics/6. Measures of Dispersion.mp4 23MB
  46. 2. Basics of Statistics/1. Types of Data.mp4 22MB
  47. 5. Data Preprocessing/15. Seasonality in Data.mp4 21MB
  48. 1. Introduction/4. This is a milestone!.mp4 21MB
  49. 7. Regression models other than OLS/1. Linear models other than OLS.mp4 19MB
  50. 7. Regression models other than OLS/7. Heteroscedasticity.mp4 18MB
  51. 5. Data Preprocessing/4. Importing the dataset into R.mp4 16MB
  52. 1. Introduction/1. Welcome to the course!.mp4 15MB
  53. 8. Conclusion/2. The final milestone!.mp4 12MB
  54. 2. Basics of Statistics/2. Types of Statistics.mp4 11MB
  55. 6. Linear Regression Model/1. The problem statement.mp4 11MB
  56. 4. Introduction to Machine Learning/2.1 Lecture_machineLearning.pdf 1002KB
  57. 4. Introduction to Machine Learning/1.1 Lecture_machineLearning.pdf 992KB
  58. 1. Introduction/3.1 00_Introduction_01.pdf 791KB
  59. 2. Basics of Statistics/5.1 Exercise 1.pdf 554KB
  60. 2. Basics of Statistics/7.1 Exercise 2.pdf 480KB
  61. 5. Data Preprocessing/16.1 04_07_Variable_Transformation.pdf 423KB
  62. 5. Data Preprocessing/9.1 04_06_PDE_Outlier_Treatment.pdf 365KB
  63. 5. Data Preprocessing/15.1 04_07_PDE_Seasonality.pdf 364KB
  64. 6. Linear Regression Model/8.1 05_05_F_stat.pdf 338KB
  65. 5. Data Preprocessing/6.1 03_04_PDE_Univariate_Analysis_Uni.pdf 333KB
  66. 6. Linear Regression Model/3.1 05_03_Simple_lin_reg_Accuracy.pdf 333KB
  67. 6. Linear Regression Model/4.1 05_03_Simple_lin_reg_Accuracy.pdf 333KB
  68. 5. Data Preprocessing/3.1 03_03_PDE_Raw_Data_Analysis_Uni.pdf 332KB
  69. 5. Data Preprocessing/2.1 03_02_PDE_Data_exploration.pdf 323KB
  70. 2. Basics of Statistics/3.1 01_03_Lecture_DataSummaryandGraph.pdf 318KB
  71. 5. Data Preprocessing/12.1 04_05_PDE_Missing_value.pdf 316KB
  72. 2. Basics of Statistics/4.1 01_04_Lecture_Centers.pdf 313KB
  73. 6. Linear Regression Model/2.1 05_02_Simple_lin_reg.pdf 285KB
  74. 5. Data Preprocessing/23.1 04_10_Correlation.pdf 257KB
  75. 6. Linear Regression Model/1.1 05_01_Intro.pdf 239KB
  76. 6. Linear Regression Model/14.1 05_12_Test_Train.pdf 239KB
  77. 6. Linear Regression Model/7.1 05_04_Multiple_lin_reg.pdf 230KB
  78. 6. Linear Regression Model/15.1 05_13_Bias_Var_tradeoff.pdf 212KB
  79. 7. Regression models other than OLS/2.1 05_10_Subset_Selection.pdf 199KB
  80. 7. Regression models other than OLS/5.1 05_11_Shrinkage_methods.pdf 188KB
  81. 2. Basics of Statistics/1.1 01_01_Lecture_TypesOfData.pdf 178KB
  82. 2. Basics of Statistics/2.1 01_02_Lecture_TypesOfStatistics.pdf 172KB
  83. 5. Data Preprocessing/1.1 03_01_PDE_Business_knowledge.pdf 164KB
  84. 5. Data Preprocessing/20.1 04_11_Dummy_Var.pdf 163KB
  85. 7. Regression models other than OLS/1.1 05_09_Other_lin_model.pdf 157KB
  86. 6. Linear Regression Model/10.1 05_06_Cat_var.pdf 155KB
  87. 5. Data Preprocessing/19.1 04_08_PDE_Non_Usable_var.pdf 148KB
  88. 3. Getting started with R and R studio/6.1 Customer.csv 74KB
  89. 5. Data Preprocessing/3.2 House_Price.csv 63KB
  90. 5. Data Preprocessing/4.1 House_Price.csv 53KB
  91. 5. Data Preprocessing/5.1 Movie_collection_train.csv 43KB
  92. 4. Introduction to Machine Learning/1. Introduction to Machine Learning.srt 23KB
  93. 5. Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.srt 18KB
  94. 3. Getting started with R and R studio/7. Creating Barplots in R.srt 18KB
  95. 6. Linear Regression Model/3. Assessing Accuracy of predicted coefficients.srt 16KB
  96. 3. Getting started with R and R studio/3. Packages in R.srt 14KB
  97. 3. Getting started with R and R studio/2. Basics of R and R studio.srt 14KB
  98. 7. Regression models other than OLS/2. Subset Selection techniques.srt 13KB
  99. 2. Basics of Statistics/3. Describing the data graphically.srt 13KB
  100. 4. Introduction to Machine Learning/2. Building a Machine Learning model.srt 13KB
  101. 8. Conclusion/1.1 Movie_collection_test.csv 12KB
  102. 5. Data Preprocessing/7. EDD in R.srt 12KB
  103. 7. Regression models other than OLS/6. Ridge regression and Lasso in R.srt 11KB
  104. 5. Data Preprocessing/23. Correlation Matrix and cause-effect relationship.srt 11KB
  105. 1. Introduction/3. Course contents.srt 10KB
  106. 6. Linear Regression Model/14. Test-Train split.srt 10KB
  107. 6. Linear Regression Model/2. Basic equations and Ordinary Least Squared (OLS) method.srt 10KB
  108. 5. Data Preprocessing/24. Correlation Matrix in R.srt 9KB
  109. 5. Data Preprocessing/17. Variable transformation in R.srt 9KB
  110. 6. Linear Regression Model/8. The F - statistic.srt 9KB
  111. 6. Linear Regression Model/17. Test-Train Split in R.srt 8KB
  112. 3. Getting started with R and R studio/6. Inputting data part 3 Importing from CSV or Text files.srt 8KB
  113. 6. Linear Regression Model/11. Multiple Linear Regression in R.srt 8KB
  114. 7. Regression models other than OLS/5. Shrinkage methods - Ridge Regression and The Lasso.srt 8KB
  115. 6. Linear Regression Model/4. Assessing Model Accuracy - RSE and R squared.srt 8KB
  116. 6. Linear Regression Model/5. Simple Linear Regression in R.srt 8KB
  117. 2. Basics of Statistics/4. Measures of Centers.srt 8KB
  118. 5. Data Preprocessing/3. The Data and the Data Dictionary.srt 8KB
  119. 7. Regression models other than OLS/3. Subset selection in R.srt 8KB
  120. 3. Getting started with R and R studio/8. Creating Histograms in R.srt 8KB
  121. 3. Getting started with R and R studio/1. Installing R and R studio.srt 7KB
  122. 6. Linear Regression Model/15. Bias Variance trade-off.srt 6KB
  123. 6. Linear Regression Model/7. Multiple Linear Regression.srt 6KB
  124. 3. Getting started with R and R studio/4. Inputting data part 1 Inbuilt datasets of R.srt 5KB
  125. 5. Data Preprocessing/19. Non Usable Variables.srt 5KB
  126. 6. Linear Regression Model/10. Interpreting result for categorical Variable.srt 5KB
  127. 2. Basics of Statistics/6. Measures of Dispersion.srt 5KB
  128. 5. Data Preprocessing/21. Dummy variable creation in R.srt 5KB
  129. 2. Basics of Statistics/1. Types of Data.srt 5KB
  130. 5. Data Preprocessing/20. Dummy variable creation Handling qualitative data.srt 5KB
  131. 5. Data Preprocessing/9. Outlier Treatment.srt 4KB
  132. 7. Regression models other than OLS/1. Linear models other than OLS.srt 4KB
  133. 5. Data Preprocessing/10. Outlier Treatment in R.srt 4KB
  134. 5. Data Preprocessing/12. Missing Value imputation.srt 4KB
  135. 5. Data Preprocessing/1. Gathering Business Knowledge.srt 4KB
  136. 1. Introduction/4. This is a milestone!.srt 4KB
  137. 5. Data Preprocessing/15. Seasonality in Data.srt 4KB
  138. 3. Getting started with R and R studio/5. Inputting data part 2 Manual data entry.srt 4KB
  139. 5. Data Preprocessing/2. Data Exploration.srt 4KB
  140. 5. Data Preprocessing/13. Missing Value imputation in R.srt 3KB
  141. 5. Data Preprocessing/6. Univariate Analysis and EDD.srt 3KB
  142. 1. Introduction/1. Welcome to the course!.srt 3KB
  143. 2. Basics of Statistics/2. Types of Statistics.srt 3KB
  144. 7. Regression models other than OLS/7. Heteroscedasticity.srt 3KB
  145. 5. Data Preprocessing/4. Importing the dataset into R.srt 3KB
  146. 8. Conclusion/3. Congratulations & About your certificate.html 2KB
  147. 8. Conclusion/2. The final milestone!.srt 2KB
  148. 6. Linear Regression Model/1. The problem statement.srt 2KB
  149. 5. Data Preprocessing/4.2 R_Linear.zip 1KB
  150. 6. Linear Regression Model/16. More about test-train split.html 559B
  151. 5. Data Preprocessing/5. Project Exercise 1.html 447B
  152. 7. Regression models other than OLS/8. Project Exercise 11.html 398B
  153. 2. Basics of Statistics/5. Practice Exercise 1.html 354B
  154. 1. Introduction/2. Course Resources.html 345B
  155. 8. Conclusion/1. Final Project Exercise.html 329B
  156. 6. Linear Regression Model/13. Project Exercise 9.html 328B
  157. 6. Linear Regression Model/6. Project Exercise 8.html 322B
  158. 2. Basics of Statistics/7. Practice Exercise 2.html 295B
  159. 5. Data Preprocessing/25. Project Exercise 7.html 288B
  160. 5. Data Preprocessing/18. Project Exercise 5.html 286B
  161. 5. Data Preprocessing/14. Project Exercise 4.html 238B
  162. 5. Data Preprocessing/11. Project Exercise 3.html 233B
  163. 4. Introduction to Machine Learning/3. Introduction to Machine learning quiz.html 207B
  164. 5. Data Preprocessing/26. Quiz.html 207B
  165. 6. Linear Regression Model/12. Quiz.html 207B
  166. 6. Linear Regression Model/18. Quiz.html 207B
  167. 6. Linear Regression Model/9. Quiz.html 207B
  168. 5. Data Preprocessing/22. Project Exercise 6.html 202B
  169. 7. Regression models other than OLS/4. Project Exercise 10.html 199B
  170. 5. Data Preprocessing/8. Project Exercise 2.html 177B
  171. 0. Websites you may like/[FCS Forum].url 133B
  172. 0. Websites you may like/[FreeCourseSite.com].url 127B
  173. 0. Websites you may like/[CourseClub.ME].url 122B
  174. 0. Websites you may like/[GigaCourse.Com].url 49B