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[] Udemy - Credit Risk Modeling in Python 2022

  • 收录时间:2022-09-28 14:12:32
  • 文件大小:2GB
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  • 最近下载:2022-09-28 14:12:32
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文件列表

  1. 9 - PD model monitoring/56 - Population stability index preprocessing.mp4 92MB
  2. 5 - PD Model Data Preparation/34 - Data preparation Preprocessing continuous variables creating dummies Part 2.mp4 88MB
  3. 6 - PD model estimation/43 - Build a logistic regression model with p.mp4 87MB
  4. 5 - PD Model Data Preparation/36 - Data preparation Preprocessing continuous variables creating dummies Part 3.mp4 81MB
  5. 8 - Applying the PD Model for decision making/49 - Creating a scorecard.mp4 80MB
  6. 13 - Calculating expected loss/73 - Calculating expected loss.mp4 80MB
  7. 5 - PD Model Data Preparation/30 - Data preparation Preprocessing discrete variables creating dummies Part 2.mp4 75MB
  8. 1 - Introduction/1 - What does the course cover.mp4 73MB
  9. 8 - Applying the PD Model for decision making/52 - Setting cut.mp4 64MB
  10. 1 - Introduction/5 - Basel II approaches SA F.mp4 63MB
  11. 1 - Introduction/2 - What is credit risk and why is it important.mp4 58MB
  12. 9 - PD model monitoring/57 - Population stability index calculation and interpretation.mp4 57MB
  13. 5 - PD Model Data Preparation/23 - Fine classing weight of evidence and coarse classing.mp4 55MB
  14. 4 - General preprocessing/16 - Preprocessing few continuous variables.mp4 55MB
  15. 7 - PD model validation/46 - Evaluation of model performance accuracy and area under the curve AUC.mp4 48MB
  16. 1 - Introduction/3 - Expected loss EL and its components PD LGD and EAD.mp4 48MB
  17. 7 - PD model validation/47 - Evaluation of model performance Gini and Kolmogorov.mp4 45MB
  18. 5 - PD Model Data Preparation/33 - Data preparation Preprocessing continuous variables creating dummies Part 1.mp4 44MB
  19. 1 - Introduction/6 - Different facility types asset classes and credit risk modeling approaches.mp4 43MB
  20. 5 - PD Model Data Preparation/28 - Data preparation Preprocessing discrete variables visualizing results.mp4 42MB
  21. 8 - Applying the PD Model for decision making/50 - Calculating credit score.mp4 41MB
  22. 3 - Dataset description/13 - Our example consumer loans A first look at the dataset.mp4 37MB
  23. 5 - PD Model Data Preparation/29 - Data preparation Preprocessing discrete variables creating dummies Part 1.mp4 36MB
  24. 6 - PD model estimation/41 - Loading the data and selecting the features.mp4 36MB
  25. 6 - PD model estimation/44 - Interpreting the coefficients in the PD model.mp4 35MB
  26. 5 - PD Model Data Preparation/27 - Data preparation Preprocessing discrete variables automating calculations.mp4 35MB
  27. 5 - PD Model Data Preparation/32 - Data preparation Preprocessing continuous variables Automating calculations.mp4 34MB
  28. 7 - PD model validation/45 - Out.mp4 33MB
  29. 5 - PD Model Data Preparation/26 - Data preparation An example.mp4 32MB
  30. 11 - LGD model/63 - LGD model testing the model.mp4 32MB
  31. 11 - LGD model/66 - LGD model stage 2 linear regression.mp4 31MB
  32. 10 - LGD and EAD Models Preparing the data/59 - LGD and EAD models independent variables.mp4 30MB
  33. 12 - EAD model/70 - EAD model estimation and interpretation.mp4 30MB
  34. 4 - General preprocessing/18 - Preprocessing few discrete variables.mp4 29MB
  35. 5 - PD Model Data Preparation/25 - Data preparation Splitting data.mp4 29MB
  36. 5 - PD Model Data Preparation/22 - Dependent variable Good Bad default definition.mp4 28MB
  37. 6 - PD model estimation/40 - The PD model Logistic regression with dummy variables.mp4 27MB
  38. 10 - LGD and EAD Models Preparing the data/61 - LGD and EAD models distribution of recovery rates and credit conversion factors.mp4 25MB
  39. 10 - LGD and EAD Models Preparing the data/60 - LGD and EAD models dependent variables.mp4 25MB
  40. 4 - General preprocessing/15 - Importing the data into Python.mp4 25MB
  41. 3 - Dataset description/14 - Dependent variables and independent variables.mp4 24MB
  42. 11 - LGD model/64 - LGD model estimating the accuracy of the model.mp4 23MB
  43. 5 - PD Model Data Preparation/38 - Data preparation Preprocessing the test dataset.mp4 22MB
  44. 12 - EAD model/71 - EAD model validation.mp4 22MB
  45. 1 - Introduction/4 - Capital adequacy regulations and the Basel II accord.mp4 21MB
  46. 4 - General preprocessing/19 - Check for missing values and clean.mp4 21MB
  47. 5 - PD Model Data Preparation/24 - Information value.mp4 20MB
  48. 11 - LGD model/67 - LGD model stage 2 linear regression evaluation.mp4 20MB
  49. 6 - PD model estimation/42 - PD model estimation.mp4 18MB
  50. 9 - PD model monitoring/55 - PD model monitoring via assessing population stability.mp4 18MB
  51. 5 - PD Model Data Preparation/21 - How is the PD model going to look like.mp4 16MB
  52. 11 - LGD model/68 - LGD model combining stage 1 and stage 2.mp4 15MB
  53. 8 - Applying the PD Model for decision making/51 - From credit score to PD.mp4 15MB
  54. 11 - LGD model/65 - LGD model saving the model.mp4 14MB
  55. 2 - Setting up the working environment/11 - Jupyter Dashboard.mp4 12MB
  56. 8 - Applying the PD Model for decision making/48 - Calculating probability of default for a single customer.mp4 12MB
  57. 11 - LGD model/62 - LGD model preparing the inputs.mp4 11MB
  58. 2 - Setting up the working environment/9 - Installing Anaconda.mp4 10MB
  59. 2 - Setting up the working environment/8 - Why Python and why Jupyter.mp4 10MB
  60. 2 - Setting up the working environment/10 - Jupyter Dashboard.mp4 4MB
  61. 2 - Setting up the working environment/12 - Installing the sklearn package.mp4 3MB
  62. 2 - Setting up the working environment/7 - Setting up the environment.mp4 2MB
  63. 2 - Setting up the working environment/11 - ShortcutsforJupyter.pdf 619KB
  64. 13 - Calculating expected loss/73 - Calculating expected loss French.vtt 21KB
  65. 3 - Dataset description/13 - LCDataDictionaryxlsx 20KB
  66. 5 - PD Model Data Preparation/34 - Data preparation Preprocessing continuous variables creating dummies Part 2 French.vtt 19KB
  67. 13 - Calculating expected loss/73 - Calculating expected loss English.vtt 18KB
  68. 4 - General preprocessing/16 - Preprocessing few continuous variables French.vtt 18KB
  69. 5 - PD Model Data Preparation/34 - Data preparation Preprocessing continuous variables creating dummies Part 2 English.vtt 17KB
  70. 5 - PD Model Data Preparation/36 - Data preparation Preprocessing continuous variables creating dummies Part 3 French.vtt 17KB
  71. 8 - Applying the PD Model for decision making/49 - Creating a scorecard French.vtt 17KB
  72. 4 - General preprocessing/16 - Preprocessing few continuous variables English.vtt 15KB
  73. 5 - PD Model Data Preparation/30 - Data preparation Preprocessing discrete variables creating dummies Part 2 French.vtt 15KB
  74. 9 - PD model monitoring/56 - Population stability index preprocessing French.vtt 15KB
  75. 8 - Applying the PD Model for decision making/49 - Creating a scorecard English.vtt 15KB
  76. 6 - PD model estimation/43 - Build a logistic regression model with p French.vtt 15KB
  77. 5 - PD Model Data Preparation/36 - Data preparation Preprocessing continuous variables creating dummies Part 3 English.vtt 15KB
  78. 9 - PD model monitoring/57 - Population stability index calculation and interpretation French.vtt 14KB
  79. 7 - PD model validation/46 - Evaluation of model performance accuracy and area under the curve AUC French.vtt 14KB
  80. 5 - PD Model Data Preparation/30 - Data preparation Preprocessing discrete variables creating dummies Part 2 English.vtt 13KB
  81. 7 - PD model validation/47 - Evaluation of model performance Gini and Kolmogorov French.vtt 13KB
  82. 6 - PD model estimation/43 - Build a logistic regression model with p English.vtt 13KB
  83. 5 - PD Model Data Preparation/28 - Data preparation Preprocessing discrete variables visualizing results French.vtt 13KB
  84. 7 - PD model validation/46 - Evaluation of model performance accuracy and area under the curve AUC English.vtt 13KB
  85. 9 - PD model monitoring/56 - Population stability index preprocessing English.vtt 13KB
  86. 1 - Introduction/5 - Basel II approaches SA F French.vtt 13KB
  87. 9 - PD model monitoring/57 - Population stability index calculation and interpretation English.vtt 13KB
  88. 1 - Introduction/6 - Different facility types asset classes and credit risk modeling approaches French.vtt 12KB
  89. 7 - PD model validation/47 - Evaluation of model performance Gini and Kolmogorov English.vtt 12KB
  90. 5 - PD Model Data Preparation/25 - Data preparation Splitting data French.vtt 12KB
  91. 1 - Introduction/5 - Basel II approaches SA F English.vtt 11KB
  92. 8 - Applying the PD Model for decision making/52 - Setting cut French.vtt 11KB
  93. 5 - PD Model Data Preparation/28 - Data preparation Preprocessing discrete variables visualizing results English.vtt 11KB
  94. 1 - Introduction/6 - Different facility types asset classes and credit risk modeling approaches English.vtt 11KB
  95. 5 - PD Model Data Preparation/26 - Data preparation An example French.vtt 11KB
  96. 6 - PD model estimation/40 - The PD model Logistic regression with dummy variables French.vtt 11KB
  97. 8 - Applying the PD Model for decision making/52 - Setting cut English.vtt 10KB
  98. 5 - PD Model Data Preparation/25 - Data preparation Splitting data English.vtt 10KB
  99. 5 - PD Model Data Preparation/33 - Data preparation Preprocessing continuous variables creating dummies Part 1 French.vtt 10KB
  100. 5 - PD Model Data Preparation/26 - Data preparation An example English.vtt 10KB
  101. 5 - PD Model Data Preparation/29 - Data preparation Preprocessing discrete variables creating dummies Part 1 French.vtt 10KB
  102. 6 - PD model estimation/40 - The PD model Logistic regression with dummy variables English.vtt 10KB
  103. 7 - PD model validation/45 - Out French.vtt 9KB
  104. 4 - General preprocessing/18 - Preprocessing few discrete variables French.vtt 9KB
  105. 10 - LGD and EAD Models Preparing the data/59 - LGD and EAD models independent variables French.vtt 9KB
  106. 5 - PD Model Data Preparation/33 - Data preparation Preprocessing continuous variables creating dummies Part 1 English.vtt 9KB
  107. 5 - PD Model Data Preparation/23 - Fine classing weight of evidence and coarse classing French.vtt 9KB
  108. 5 - PD Model Data Preparation/29 - Data preparation Preprocessing discrete variables creating dummies Part 1 English.vtt 8KB
  109. 12 - EAD model/70 - EAD model estimation and interpretation French.vtt 8KB
  110. 1 - Introduction/1 - What does the course cover French.vtt 8KB
  111. 4 - General preprocessing/18 - Preprocessing few discrete variables English.vtt 8KB
  112. 3 - Dataset description/14 - Dependent variables and independent variables French.vtt 8KB
  113. 6 - PD model estimation/44 - Interpreting the coefficients in the PD model French.vtt 8KB
  114. 10 - LGD and EAD Models Preparing the data/61 - LGD and EAD models distribution of recovery rates and credit conversion factors French.vtt 8KB
  115. 5 - PD Model Data Preparation/27 - Data preparation Preprocessing discrete variables automating calculations French.vtt 8KB
  116. 7 - PD model validation/45 - Out English.vtt 8KB
  117. 5 - PD Model Data Preparation/23 - Fine classing weight of evidence and coarse classing English.vtt 8KB
  118. 8 - Applying the PD Model for decision making/50 - Calculating credit score French.vtt 8KB
  119. 6 - PD model estimation/41 - Loading the data and selecting the features French.vtt 8KB
  120. 10 - LGD and EAD Models Preparing the data/59 - LGD and EAD models independent variables English.vtt 7KB
  121. 5 - PD Model Data Preparation/22 - Dependent variable Good Bad default definition French.vtt 7KB
  122. 12 - EAD model/70 - EAD model estimation and interpretation English.vtt 7KB
  123. 3 - Dataset description/14 - Dependent variables and independent variables English.vtt 7KB
  124. 6 - PD model estimation/44 - Interpreting the coefficients in the PD model English.vtt 7KB
  125. 9 - PD model monitoring/55 - PD model monitoring via assessing population stability French.vtt 7KB
  126. 1 - Introduction/1 - What does the course cover English.vtt 7KB
  127. 11 - LGD model/63 - LGD model testing the model French.vtt 7KB
  128. 2 - Setting up the working environment/11 - Jupyter Dashboard French.vtt 7KB
  129. 10 - LGD and EAD Models Preparing the data/60 - LGD and EAD models dependent variables French.vtt 7KB
  130. 5 - PD Model Data Preparation/27 - Data preparation Preprocessing discrete variables automating calculations English.vtt 7KB
  131. 5 - PD Model Data Preparation/24 - Information value French.vtt 7KB
  132. 10 - LGD and EAD Models Preparing the data/61 - LGD and EAD models distribution of recovery rates and credit conversion factors English.vtt 7KB
  133. 8 - Applying the PD Model for decision making/50 - Calculating credit score English.vtt 7KB
  134. 5 - PD Model Data Preparation/32 - Data preparation Preprocessing continuous variables Automating calculations French.vtt 7KB
  135. 2 - Setting up the working environment/8 - Why Python and why Jupyter French.vtt 6KB
  136. 6 - PD model estimation/41 - Loading the data and selecting the features English.vtt 6KB
  137. 5 - PD Model Data Preparation/22 - Dependent variable Good Bad default definition English.vtt 6KB
  138. 1 - Introduction/2 - What is credit risk and why is it important French.vtt 6KB
  139. 11 - LGD model/63 - LGD model testing the model English.vtt 6KB
  140. 5 - PD Model Data Preparation/24 - Information value English.vtt 6KB
  141. 9 - PD model monitoring/55 - PD model monitoring via assessing population stability English.vtt 6KB
  142. 2 - Setting up the working environment/11 - Jupyter Dashboard English.vtt 6KB
  143. 5 - PD Model Data Preparation/38 - Data preparation Preprocessing the test dataset French.vtt 6KB
  144. 11 - LGD model/64 - LGD model estimating the accuracy of the model French.vtt 6KB
  145. 10 - LGD and EAD Models Preparing the data/60 - LGD and EAD models dependent variables English.vtt 6KB
  146. 4 - General preprocessing/15 - Importing the data into Python French.vtt 6KB
  147. 2 - Setting up the working environment/8 - Why Python and why Jupyter English.vtt 6KB
  148. 5 - PD Model Data Preparation/32 - Data preparation Preprocessing continuous variables Automating calculations English.vtt 6KB
  149. 1 - Introduction/4 - Capital adequacy regulations and the Basel II accord French.vtt 6KB
  150. 12 - EAD model/71 - EAD model validation French.vtt 6KB
  151. 8 - Applying the PD Model for decision making/48 - Calculating probability of default for a single customer French.vtt 6KB
  152. 1 - Introduction/2 - What is credit risk and why is it important English.vtt 6KB
  153. 11 - LGD model/66 - LGD model stage 2 linear regression French.vtt 5KB
  154. 5 - PD Model Data Preparation/21 - How is the PD model going to look like French.vtt 5KB
  155. 8 - Applying the PD Model for decision making/48 - Calculating probability of default for a single customer English.vtt 5KB
  156. 1 - Introduction/3 - Expected loss EL and its components PD LGD and EAD French.vtt 5KB
  157. 11 - LGD model/64 - LGD model estimating the accuracy of the model English.vtt 5KB
  158. 1 - Introduction/4 - Capital adequacy regulations and the Basel II accord English.vtt 5KB
  159. 6 - PD model estimation/42 - PD model estimation French.vtt 5KB
  160. 12 - EAD model/71 - EAD model validation English.vtt 5KB
  161. 4 - General preprocessing/15 - Importing the data into Python English.vtt 5KB
  162. 5 - PD Model Data Preparation/38 - Data preparation Preprocessing the test dataset English.vtt 5KB
  163. 11 - LGD model/62 - LGD model preparing the inputs French.vtt 5KB
  164. 5 - PD Model Data Preparation/21 - How is the PD model going to look like English.vtt 5KB
  165. 1 - Introduction/3 - Expected loss EL and its components PD LGD and EAD English.vtt 5KB
  166. 2 - Setting up the working environment/9 - Installing Anaconda French.vtt 5KB
  167. 11 - LGD model/66 - LGD model stage 2 linear regression English.vtt 5KB
  168. 11 - LGD model/67 - LGD model stage 2 linear regression evaluation French.vtt 5KB
  169. 4 - General preprocessing/19 - Check for missing values and clean French.vtt 5KB
  170. 6 - PD model estimation/42 - PD model estimation English.vtt 4KB
  171. 11 - LGD model/68 - LGD model combining stage 1 and stage 2 French.vtt 4KB
  172. 8 - Applying the PD Model for decision making/51 - From credit score to PD French.vtt 4KB
  173. 11 - LGD model/65 - LGD model saving the model French.vtt 4KB
  174. 3 - Dataset description/13 - Our example consumer loans A first look at the dataset French.vtt 4KB
  175. 2 - Setting up the working environment/9 - Installing Anaconda English.vtt 4KB
  176. 11 - LGD model/67 - LGD model stage 2 linear regression evaluation English.vtt 4KB
  177. 4 - General preprocessing/19 - Check for missing values and clean English.vtt 4KB
  178. 11 - LGD model/62 - LGD model preparing the inputs English.vtt 4KB
  179. 11 - LGD model/68 - LGD model combining stage 1 and stage 2 English.vtt 4KB
  180. 8 - Applying the PD Model for decision making/51 - From credit score to PD English.vtt 4KB
  181. 11 - LGD model/65 - LGD model saving the model English.vtt 4KB
  182. 3 - Dataset description/13 - Our example consumer loans A first look at the dataset English.vtt 3KB
  183. 2 - Setting up the working environment/10 - Jupyter Dashboard French.vtt 3KB
  184. 2 - Setting up the working environment/10 - Jupyter Dashboard English.vtt 3KB
  185. 13 - Calculating expected loss/75 - Completing 100.html 2KB
  186. 2 - Setting up the working environment/12 - Installing the sklearn package French.vtt 2KB
  187. 5 - PD Model Data Preparation/35 - Data preparation Preprocessing continuous variables creating dummies Homework.html 2KB
  188. 2 - Setting up the working environment/12 - Installing the sklearn package English.vtt 2KB
  189. 11 - LGD model/69 - Homework building an updated LGD model.html 1KB
  190. 5 - PD Model Data Preparation/37 - Data preparation Preprocessing continuous variables creating dummies Homework.html 1KB
  191. 2 - Setting up the working environment/7 - Setting up the environment French.vtt 1KB
  192. 5 - PD Model Data Preparation/31 - Data preparation Preprocessing discrete variables Homework.html 1KB
  193. 2 - Setting up the working environment/7 - Setting up the environment English.vtt 1KB
  194. 13 - Calculating expected loss/74 - Homework calculate expected loss on more recent data.html 974B
  195. 8 - Applying the PD Model for decision making/53 - Setting cutoffs Homework.html 957B
  196. 4 - General preprocessing/17 - Preprocessing few continuous variables Homework.html 919B
  197. 12 - EAD model/72 - Homework building an updated EAD model.html 875B
  198. 9 - PD model monitoring/58 - Homework building an updated PD model.html 820B
  199. 4 - General preprocessing/20 - Check for missing values and clean Homework.html 668B
  200. 13 - Calculating expected loss/73 - Calculating expected loss with comments.txt 146B
  201. 13 - Calculating expected loss/74 - Calculating expected loss complete notebook with comments.txt 146B
  202. 10 - LGD and EAD Models Preparing the data/59 - LGD and EAD models independent variables with comments.txt 141B
  203. 10 - LGD and EAD Models Preparing the data/60 - LGD and EAD models dependent variables with comments.txt 141B
  204. 10 - LGD and EAD Models Preparing the data/61 - LGD and EAD models distribution of recovery rates and credit conversion factors with comments.txt 141B
  205. 11 - LGD model/62 - LGD model preparing the inputs with comments.txt 141B
  206. 11 - LGD model/63 - LGD model testing the model with comments.txt 141B
  207. 11 - LGD model/64 - LGD model estimating the accuracy of the model with comments.txt 141B
  208. 11 - LGD model/65 - LGD model saving the model with comments.txt 141B
  209. 11 - LGD model/66 - LGD model stage 2 linear regression with comments.txt 141B
  210. 11 - LGD model/67 - LGD model stage 2 linear regression evaluation with comments.txt 141B
  211. 11 - LGD model/68 - LGD model combining stage 1 and stage 2 with comments.txt 141B
  212. 12 - EAD model/70 - EAD model estimation and interpretation with comments.txt 141B
  213. 12 - EAD model/71 - EAD model validation with comments.txt 141B
  214. 5 - PD Model Data Preparation/30 - Data preparation Preprocessing discrete variables creating dummies Part 2 with comments.txt 128B
  215. 5 - PD Model Data Preparation/31 - Data preparation Preprocessing discrete variables Homework with comments.txt 128B
  216. 5 - PD Model Data Preparation/32 - Data preparation Preprocessing continuous variables Automating calculations with comments.txt 128B
  217. 5 - PD Model Data Preparation/33 - Data preparation Preprocessing continuous variables creating dummies Part 1 with comments.txt 128B
  218. 5 - PD Model Data Preparation/34 - Data preparation Preprocessing continuous variables creating dummies Part 2 with comments.txt 128B
  219. 5 - PD Model Data Preparation/35 - Data preparation Preprocessing continuous variables creating dummies Homework with comments.txt 128B
  220. 5 - PD Model Data Preparation/36 - Data preparation Preprocessing continuous variables creating dummies Part 3 with comments.txt 128B
  221. 5 - PD Model Data Preparation/37 - Data preparation Preprocessing continuous variables creating dummies Homework with comments.txt 128B
  222. 5 - PD Model Data Preparation/38 - Data preparation Preprocessing the test dataset with comments.txt 128B
  223. 0. Websites you may like/[FreeCourseSite.com].url 127B
  224. 3 - Dataset description/13 - Data preparation with comments.txt 127B
  225. 4 - General preprocessing/15 - Importing the data into Python with comments.txt 127B
  226. 4 - General preprocessing/16 - Preprocessing few continuous variables with comments.txt 127B
  227. 4 - General preprocessing/17 - Preprocessing few continuous variables Homework Solution with comments.txt 127B
  228. 4 - General preprocessing/18 - Preprocessing few discrete variables with comments.txt 127B
  229. 4 - General preprocessing/19 - Check for missing values and clean with comments.txt 127B
  230. 4 - General preprocessing/20 - Check for missing values and clean the data Homework Solution with comments.txt 127B
  231. 5 - PD Model Data Preparation/22 - Dependent variable GoodBad with comments.txt 127B
  232. 5 - PD Model Data Preparation/25 - Data preparation Splitting data with comments.txt 127B
  233. 5 - PD Model Data Preparation/26 - Data preparation An example with comments.txt 127B
  234. 5 - PD Model Data Preparation/27 - Data preparation Preprocessing discrete variables automating calculations with comments.txt 127B
  235. 5 - PD Model Data Preparation/28 - Data preparation Preprocessing discrete variables visualizing results with comments.txt 127B
  236. 5 - PD Model Data Preparation/29 - Data preparation Preprocessing discrete variables creating dummies Part 1 with comments.txt 127B
  237. 6 - PD model estimation/41 - Loading the data and selecting the features with comments.txt 126B
  238. 6 - PD model estimation/42 - PD model estimation with comments.txt 126B
  239. 6 - PD model estimation/43 - Build a logistic regression model with pvalues with comments.txt 126B
  240. 7 - PD model validation/45 - Outofsample validation test with comments.txt 126B
  241. 7 - PD model validation/46 - Evaluation of model performance accuracy and area under the curve AUC with comments.txt 126B
  242. 7 - PD model validation/47 - Evaluation of model performance Gini and KolmogorovSmirnov with comments.txt 126B
  243. 8 - Applying the PD Model for decision making/48 - Calculating probability of default for a single customer with comments.txt 126B
  244. 8 - Applying the PD Model for decision making/49 - Creating a scorecard with comments.txt 126B
  245. 8 - Applying the PD Model for decision making/50 - Calculating credit score with comments.txt 126B
  246. 8 - Applying the PD Model for decision making/51 - From credit score to PD with comments.txt 126B
  247. 8 - Applying the PD Model for decision making/52 - Setting cutoffs with comments.txt 126B
  248. 13 - Calculating expected loss/73 - Calculating expected loss.txt 124B
  249. 13 - Calculating expected loss/74 - Calculating expected loss complete notebook.txt 124B
  250. 0. Websites you may like/[CourseClub.Me].url 122B
  251. 10 - LGD and EAD Models Preparing the data/59 - LGD and EAD models independent variables.txt 119B
  252. 10 - LGD and EAD Models Preparing the data/60 - LGD and EAD models dependent variables.txt 119B
  253. 10 - LGD and EAD Models Preparing the data/61 - LGD and EAD models distribution of recovery rates and credit conversion factors.txt 119B
  254. 11 - LGD model/62 - LGD model preparing the inputs.txt 119B
  255. 11 - LGD model/63 - LGD model testing the model.txt 119B
  256. 11 - LGD model/64 - LGD model estimating the accuracy of the model.txt 119B
  257. 11 - LGD model/65 - LGD model saving the model.txt 119B
  258. 11 - LGD model/66 - LGD model stage 2 linear regression.txt 119B
  259. 11 - LGD model/67 - LGD model stage 2 linear regression evaluation.txt 119B
  260. 11 - LGD model/68 - LGD model combining stage 1 and stage 2.txt 119B
  261. 12 - EAD model/70 - EAD model estimation and interpretation.txt 119B
  262. 12 - EAD model/71 - EAD model validation.txt 119B
  263. 5 - PD Model Data Preparation/39 - PD model data preparation with comments.txt 117B
  264. 8 - Applying the PD Model for decision making/54 - PD model complete with comments.txt 116B
  265. 9 - PD model monitoring/57 - Monitoring with comments.txt 116B
  266. 5 - PD Model Data Preparation/30 - Data preparation Preprocessing discrete variables creating dummies Part 2.txt 106B
  267. 5 - PD Model Data Preparation/31 - Data preparation Preprocessing discrete variables Homework Soluton.txt 106B
  268. 5 - PD Model Data Preparation/32 - Data preparation Preprocessing continuous variables Automating calculations.txt 106B
  269. 5 - PD Model Data Preparation/33 - Data preparation Preprocessing continuous variables creating dummies Part 1.txt 106B
  270. 5 - PD Model Data Preparation/34 - Data preparation Preprocessing continuous variables creating dummies Part 2.txt 106B
  271. 5 - PD Model Data Preparation/35 - Data preparation Preprocessing continuous variables creating dummies Homework.txt 106B
  272. 5 - PD Model Data Preparation/36 - Data preparation Preprocessing continuous variables creating dummies Part 3.txt 106B
  273. 5 - PD Model Data Preparation/37 - Data preparation Preprocessing continuous variables creating dummies Homework Solution.txt 106B
  274. 5 - PD Model Data Preparation/38 - Data preparation Preprocessing the test dataset.txt 106B
  275. 3 - Dataset description/13 - Data Preparation.txt 105B
  276. 4 - General preprocessing/15 - Importing the data into Python.txt 105B
  277. 4 - General preprocessing/16 - Preprocessing few continuous variables.txt 105B
  278. 4 - General preprocessing/17 - Preprocessing few continuous variables Homework Solution.txt 105B
  279. 4 - General preprocessing/18 - Preprocessing few discrete variables.txt 105B
  280. 4 - General preprocessing/19 - Check for missing values and clean.txt 105B
  281. 4 - General preprocessing/20 - Check for missing values and clean the data Homework Solution.txt 105B
  282. 5 - PD Model Data Preparation/22 - Dependent variable GoodBad.txt 105B
  283. 5 - PD Model Data Preparation/25 - Data preparation Splitting data.txt 105B
  284. 5 - PD Model Data Preparation/26 - Data preparation An example.txt 105B
  285. 5 - PD Model Data Preparation/27 - Data preparation Preprocessing discrete variables automating calculations.txt 105B
  286. 5 - PD Model Data Preparation/28 - Data preparation Preprocessing discrete variables visualizing results.txt 105B
  287. 5 - PD Model Data Preparation/29 - Data preparation Preprocessing discrete variables creating dummies Part 1.txt 105B
  288. 6 - PD model estimation/41 - Loading the data and selecting the features.txt 104B
  289. 6 - PD model estimation/42 - PD model estimation.txt 104B
  290. 6 - PD model estimation/43 - Build a logistic regression model with pvalues.txt 104B
  291. 7 - PD model validation/45 - Outofsample validation test.txt 104B
  292. 7 - PD model validation/46 - Evaluation of model performance accuracy and area under the curve AUC.txt 104B
  293. 7 - PD model validation/47 - Evaluation of model performance Gini and KolmogorovSmirnov.txt 104B
  294. 8 - Applying the PD Model for decision making/48 - Calculating probability of default for a single customer.txt 104B
  295. 8 - Applying the PD Model for decision making/49 - Creating a scorecard.txt 104B
  296. 8 - Applying the PD Model for decision making/50 - Calculating credit score.txt 104B
  297. 8 - Applying the PD Model for decision making/51 - From credit score to PD.txt 104B
  298. 8 - Applying the PD Model for decision making/52 - Setting cutoffs.txt 104B
  299. 5 - PD Model Data Preparation/39 - PD model data preparation.txt 95B
  300. 8 - Applying the PD Model for decision making/54 - PD model complete.txt 94B
  301. 9 - PD model monitoring/57 - Monitoring.txt 94B
  302. 5 - PD Model Data Preparation/39 - PD model data preparation notebooks.html 85B
  303. 10 - LGD and EAD Models Preparing the data/59 - loandata20072014preprocessedcsv.txt 83B
  304. 11 - LGD model/62 - loandata20072014preprocessedcsv.txt 83B
  305. 8 - Applying the PD Model for decision making/54 - PD model logistic regression notebooks.html 73B
  306. 3 - Dataset description/13 - Dataset for the course.txt 70B
  307. 3 - Dataset description/14 - Dataset for the course.txt 70B
  308. 11 - LGD model/69 - Dataset with new data loandata2015csv.txt 65B
  309. 9 - PD model monitoring/58 - Dataset with new data loandata2015csv.txt 65B
  310. 0. Websites you may like/[GigaCourse.Com].url 49B
  311. 1 - Introduction/1 - What is credit risk and why is it important.html 0B
  312. 1 - Introduction/2 - Expected loss EL and its components PD LGD and EAD.html 0B
  313. 1 - Introduction/3 - Capital adequacy regulations and the Basel II accord.html 0B
  314. 1 - Introduction/4 - Basel II approaches SA FIRB and AIRB.html 0B
  315. 1 - Introduction/5 - Different facility types asset classes and credit risk modeling approaches.html 0B
  316. 10 - LGD and EAD Models Preparing the data/37 - LGD and EAD models independent variables.html 0B
  317. 10 - LGD and EAD Models Preparing the data/38 - LGD and EAD models dependent variables.html 0B
  318. 10 - LGD and EAD Models Preparing the data/39 - LGD and EAD models distribution of recovery rates and credit conversion factors.html 0B
  319. 11 - LGD model/40 - LGD model testing the model.html 0B
  320. 11 - LGD model/41 - LGD model stage 2 linear regression with comments.html 0B
  321. 11 - LGD model/42 - LGD model stage 2 linear regression evaluation.html 0B
  322. 11 - LGD model/43 - LGD model combining stage 1 and stage 2.html 0B
  323. 12 - EAD model/44 - EAD model estimation and interpretation.html 0B
  324. 12 - EAD model/45 - EAD model validation.html 0B
  325. 13 - Calculating expected loss/46 - Calculating expected loss.html 0B
  326. 3 - Dataset description/6 - Our example consumer loans A first look at the dataset.html 0B
  327. 3 - Dataset description/7 - Dependent variables and independent variables.html 0B
  328. 4 - General preprocessing/10 - Preprocessing few discrete variables.html 0B
  329. 4 - General preprocessing/11 - Check for missing values and clean.html 0B
  330. 4 - General preprocessing/8 - Importing the data into Python.html 0B
  331. 4 - General preprocessing/9 - Preprocessing few continuous variables.html 0B
  332. 5 - PD Model Data Preparation/12 - How is the PD model going to look like.html 0B
  333. 5 - PD Model Data Preparation/13 - Dependent variable Good Bad default definition.html 0B
  334. 5 - PD Model Data Preparation/14 - Fine classing weight of evidence and coarse classing.html 0B
  335. 5 - PD Model Data Preparation/15 - Information value.html 0B
  336. 5 - PD Model Data Preparation/16 - Data preparation Splitting data.html 0B
  337. 5 - PD Model Data Preparation/17 - Data preparation An example.html 0B
  338. 5 - PD Model Data Preparation/18 - Data preparation Preprocessing discrete variables automating calculations.html 0B
  339. 5 - PD Model Data Preparation/19 - Data preparation Preprocessing discrete variables creating dummies Part 1.html 0B
  340. 5 - PD Model Data Preparation/20 - Data preparation Preprocessing discrete variables creating dummies Part 2.html 0B
  341. 5 - PD Model Data Preparation/21 - Data preparation Preprocessing continuous variables Automating calculations.html 0B
  342. 5 - PD Model Data Preparation/22 - Data preparation Preprocessing continuous variables creating dummies Part 1.html 0B
  343. 5 - PD Model Data Preparation/23 - Data preparation Preprocessing continuous variables creating dummies Part 2.html 0B
  344. 5 - PD Model Data Preparation/24 - Data preparation Preprocessing continuous variables creating dummies Part 3.html 0B
  345. 6 - PD model estimation/25 - The PD model Logistic regression with dummy variables.html 0B
  346. 6 - PD model estimation/26 - Build a logistic regression model with pvalues.html 0B
  347. 6 - PD model estimation/27 - Interpreting the coefficients in the PD model.html 0B
  348. 7 - PD model validation/28 - Outofsample validation test.html 0B
  349. 7 - PD model validation/29 - Evaluation of model performance accuracy and area under the curve AUC.html 0B
  350. 7 - PD model validation/30 - Evaluation of model performance Gini and KolmogorovSmirnov.html 0B
  351. 8 - Applying the PD Model for decision making/31 - Creating a scorecard.html 0B
  352. 8 - Applying the PD Model for decision making/32 - Calculating credit score.html 0B
  353. 8 - Applying the PD Model for decision making/33 - From credit score to PD.html 0B
  354. 8 - Applying the PD Model for decision making/34 - Setting cutoffs.html 0B
  355. 9 - PD model monitoring/35 - PD model monitoring via assessing population stability.html 0B
  356. 9 - PD model monitoring/36 - Population stability index calculation and interpretation.html 0B