[FreeCourseSite.com] Udemy - Credit Risk Modeling in Python 2021
file type | 视频 | File extension | .mp4 | Source IP | 189.180.50.155 |
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Creation time | 2021-02-24 | file size | 3.16 GB | Link speed | fast |
Latest activity | 2021-02-24 | Index time | 2021-02-24 | Number of file | 294 |
BT seed hash | 198d443165c051602cbd3771f0c1de4209cd5fa6 |
File list
- 0. Websites you may like/[CourseClub.ME].url122.00 Byte
- 0. Websites you may like/[FCS Forum].url133.00 Byte
- 0. Websites you may like/[FreeCourseSite.com].url127.00 Byte
- 1. Introduction/1. What does the course cover.mp472.92 MB
- 1. Introduction/1. What does the course cover.srt7.98 KB
- 1. Introduction/10. Different facility types (asset classes) and credit risk modeling approaches.mp4104.46 MB
- 1. Introduction/10. Different facility types (asset classes) and credit risk modeling approaches.srt11.96 KB
- 1. Introduction/11. Different facility types (asset classes) and credit risk modeling approaches.html141.00 Byte
- 1. Introduction/2. What is credit risk and why is it important.mp458.17 MB
- 1. Introduction/2. What is credit risk and why is it important.srt6.09 KB
- 1. Introduction/3. What is credit risk and why is it important.html141.00 Byte
- 1. Introduction/4. Expected loss (EL) and its components PD, LGD and EAD.mp447.95 MB
- 1. Introduction/4. Expected loss (EL) and its components PD, LGD and EAD.srt5.24 KB
- 1. Introduction/5. Expected loss (EL) and its components PD, LGD and EAD.html141.00 Byte
- 1. Introduction/6. Capital adequacy, regulations, and the Basel II accord.mp451.03 MB
- 1. Introduction/6. Capital adequacy, regulations, and the Basel II accord.srt5.79 KB
- 1. Introduction/7. Capital adequacy, regulations, and the Basel II accord.html141.00 Byte
- 1. Introduction/8. Basel II approaches SA, F-IRB, and A-IRB.mp4102.44 MB
- 1. Introduction/8. Basel II approaches SA, F-IRB, and A-IRB.srt12.63 KB
- 1. Introduction/9. Basel II approaches SA, F-IRB, and A-IRB.html141.00 Byte
- 10. LGD and EAD Models Preparing the data/1. LGD and EAD models independent variables..mp450.04 MB
- 10. LGD and EAD Models Preparing the data/1. LGD and EAD models independent variables..srt8.29 KB
- 10. LGD and EAD Models Preparing the data/1.1 LGD and EAD models independent variables with comments.html202.00 Byte
- 10. LGD and EAD Models Preparing the data/1.2 LGD and EAD models independent variables..html180.00 Byte
- 10. LGD and EAD Models Preparing the data/1.3 loan_data_2007_2014_preprocessed.csv.html144.00 Byte
- 10. LGD and EAD Models Preparing the data/2. LGD and EAD models independent variables.html141.00 Byte
- 10. LGD and EAD Models Preparing the data/3. LGD and EAD models dependent variables.mp440.32 MB
- 10. LGD and EAD Models Preparing the data/3. LGD and EAD models dependent variables.srt6.89 KB
- 10. LGD and EAD Models Preparing the data/3.1 LGD and EAD models dependent variables with comments.html202.00 Byte
- 10. LGD and EAD Models Preparing the data/3.2 LGD and EAD models dependent variables.html180.00 Byte
- 10. LGD and EAD Models Preparing the data/4. LGD and EAD models dependent variables.html141.00 Byte
- 10. LGD and EAD Models Preparing the data/5. LGD and EAD models distribution of recovery rates and credit conversion factors.mp440.05 MB
- 10. LGD and EAD Models Preparing the data/5. LGD and EAD models distribution of recovery rates and credit conversion factors.srt7.71 KB
- 10. LGD and EAD Models Preparing the data/5.1 LGD and EAD models distribution of recovery rates and credit conversion factors.html180.00 Byte
- 10. LGD and EAD Models Preparing the data/5.2 LGD and EAD models distribution of recovery rates and credit conversion factors with comments.html202.00 Byte
- 10. LGD and EAD Models Preparing the data/6. LGD and EAD models distribution of recovery rates and credit conversion factors.html141.00 Byte
- 11. LGD model/1. LGD model preparing the inputs.mp424.24 MB
- 11. LGD model/1. LGD model preparing the inputs.srt4.39 KB
- 11. LGD model/1.1 loan_data_2007_2014_preprocessed.csv.html144.00 Byte
- 11. LGD model/1.2 LGD model preparing the inputs.html180.00 Byte
- 11. LGD model/1.3 LGD model preparing the inputs with comments.html202.00 Byte
- 11. LGD model/10. LGD model combining stage 1 and stage 2.mp423.97 MB
- 11. LGD model/10. LGD model combining stage 1 and stage 2.srt4.23 KB
- 11. LGD model/10.1 LGD model combining stage 1 and stage 2.html180.00 Byte
- 11. LGD model/10.2 LGD model combining stage 1 and stage 2 with comments.html202.00 Byte
- 11. LGD model/11. LGD model combining stage 1 and stage 2.html141.00 Byte
- 11. LGD model/12. Homework building an updated LGD model.html1.43 KB
- 11. LGD model/12.1 Dataset with new data (loan_data_2015.csv).html126.00 Byte
- 11. LGD model/2. LGD model testing the model.mp442.67 MB
- 11. LGD model/2. LGD model testing the model.srt6.84 KB
- 11. LGD model/2.1 LGD model testing the model with comments.html202.00 Byte
- 11. LGD model/2.2 LGD model testing the model.html180.00 Byte
- 11. LGD model/3. LGD model testing the model.html141.00 Byte
- 11. LGD model/4. LGD model estimating the accuracy of the model.mp434.84 MB
- 11. LGD model/4. LGD model estimating the accuracy of the model.srt5.95 KB
- 11. LGD model/4.1 LGD model estimating the accuracy of the model.html180.00 Byte
- 11. LGD model/4.2 LGD model estimating the accuracy of the model with comments.html202.00 Byte
- 11. LGD model/5. LGD model saving the model.mp423.84 MB
- 11. LGD model/5. LGD model saving the model.srt4.02 KB
- 11. LGD model/5.1 LGD model saving the model with comments.html202.00 Byte
- 11. LGD model/5.2 LGD model saving the model.html180.00 Byte
- 11. LGD model/6. LGD model stage 2 – linear regression.mp436.06 MB
- 11. LGD model/6. LGD model stage 2 – linear regression.srt5.26 KB
- 11. LGD model/6.1 LGD model stage 2 – linear regression with comments.html202.00 Byte
- 11. LGD model/6.2 LGD model stage 2 – linear regression.html180.00 Byte
- 11. LGD model/7. LGD model stage 2 – linear regression with comments.html141.00 Byte
- 11. LGD model/8. LGD model stage 2 – linear regression evaluation.mp426.81 MB
- 11. LGD model/8. LGD model stage 2 – linear regression evaluation.srt4.56 KB
- 11. LGD model/8.1 LGD model stage 2 – linear regression evaluation with comments.html202.00 Byte
- 11. LGD model/8.2 LGD model stage 2 – linear regression evaluation.html180.00 Byte
- 11. LGD model/9. LGD model stage 2 – linear regression evaluation.html141.00 Byte
- 12. EAD model/1. EAD model estimation and interpretation.mp448.02 MB
- 12. EAD model/1. EAD model estimation and interpretation.srt8.06 KB
- 12. EAD model/1.1 EAD model estimation and interpretation.html180.00 Byte
- 12. EAD model/1.2 EAD model estimation and interpretation with comments.html202.00 Byte
- 12. EAD model/2. EAD model estimation and interpretation.html141.00 Byte
- 12. EAD model/3. EAD model validation.mp429.89 MB
- 12. EAD model/3. EAD model validation.srt5.65 KB
- 12. EAD model/3.1 EAD model validation.html180.00 Byte
- 12. EAD model/3.2 EAD model validation with comments.html202.00 Byte
- 12. EAD model/4. EAD model validation.html141.00 Byte
- 12. EAD model/5. Homework building an updated EAD model.html875.00 Byte
- 13. Calculating expected loss/1. Calculating expected loss.mp4126.71 MB
- 13. Calculating expected loss/1. Calculating expected loss.srt20.20 KB
- 13. Calculating expected loss/1.1 Calculating expected loss with comments.html207.00 Byte
- 13. Calculating expected loss/1.2 Calculating expected loss.html185.00 Byte
- 13. Calculating expected loss/2. Calculating expected loss.html141.00 Byte
- 13. Calculating expected loss/3. Homework calculate expected loss on more recent data.html974.00 Byte
- 13. Calculating expected loss/3.1 Calculating expected loss complete notebook with comments.html207.00 Byte
- 13. Calculating expected loss/3.2 Calculating expected loss complete notebook.html185.00 Byte
- 13. Calculating expected loss/4. Completing 100%.html1.88 KB
- 2. Setting up the working environment/1. Setting up the environment - Do not skip, please!.mp45.99 MB
- 2. Setting up the working environment/1. Setting up the environment - Do not skip, please!.srt1.30 KB
- 2. Setting up the working environment/2. Why Python and why Jupyter.mp429.25 MB
- 2. Setting up the working environment/2. Why Python and why Jupyter.srt6.43 KB
- 2. Setting up the working environment/3. Installing Anaconda.mp429.26 MB
- 2. Setting up the working environment/3. Installing Anaconda.srt4.55 KB
- 2. Setting up the working environment/4. Jupyter Dashboard - Part 1.mp411.57 MB
- 2. Setting up the working environment/4. Jupyter Dashboard - Part 1.srt3.22 KB
- 2. Setting up the working environment/5. Jupyter Dashboard - Part 2.mp423.93 MB
- 2. Setting up the working environment/5. Jupyter Dashboard - Part 2.srt6.64 KB
- 2. Setting up the working environment/5.1 Shortcuts-for-Jupyter.pdf619.17 KB
- 2. Setting up the working environment/6. Installing the sklearn package.mp49.65 MB
- 2. Setting up the working environment/6. Installing the sklearn package.srt1.92 KB
- 3. Dataset description/1. Our example consumer loans. A first look at the dataset.mp436.71 MB
- 3. Dataset description/1. Our example consumer loans. A first look at the dataset.srt3.99 KB
- 3. Dataset description/1.1 Data preparation with comments.html188.00 Byte
- 3. Dataset description/1.2 Data Preparation.html166.00 Byte
- 3. Dataset description/1.3 LCDataDictionary.xlsx19.60 KB
- 3. Dataset description/1.4 Dataset for the course.html131.00 Byte
- 3. Dataset description/2. Our example consumer loans. A first look at the dataset.html141.00 Byte
- 3. Dataset description/3. Dependent variables and independent variables.mp465.88 MB
- 3. Dataset description/3. Dependent variables and independent variables.srt8.02 KB
- 3. Dataset description/3.1 Dataset for the course.html131.00 Byte
- 3. Dataset description/4. Dependent variables and independent variables.html141.00 Byte
- 4. General preprocessing/1. Importing the data into Python.mp432.87 MB
- 4. General preprocessing/1. Importing the data into Python.srt5.60 KB
- 4. General preprocessing/1.1 Importing the data into Python with comments.html188.00 Byte
- 4. General preprocessing/1.2 Importing the data into Python.html166.00 Byte
- 4. General preprocessing/10. Check for missing values and clean Homework.html668.00 Byte
- 4. General preprocessing/10.1 Check for missing values and clean the data Homework - Solution with comments.html188.00 Byte
- 4. General preprocessing/10.2 Check for missing values and clean the data Homework - Solution.html166.00 Byte
- 4. General preprocessing/2. Importing the data into Python.html141.00 Byte
- 4. General preprocessing/3. Preprocessing few continuous variables.mp483.70 MB
- 4. General preprocessing/3. Preprocessing few continuous variables.srt17.31 KB
- 4. General preprocessing/3.1 Preprocessing few continuous variables.html166.00 Byte
- 4. General preprocessing/3.2 Preprocessing few continuous variables with comments.html188.00 Byte
- 4. General preprocessing/4. Preprocessing few continuous variables.html141.00 Byte
- 4. General preprocessing/5. Preprocessing few continuous variables Homework.html919.00 Byte
- 4. General preprocessing/5.1 Preprocessing few continuous variables Homework - Solution.html166.00 Byte
- 4. General preprocessing/5.2 Preprocessing few continuous variables Homework - Solution with comments.html188.00 Byte
- 4. General preprocessing/6. Preprocessing few discrete variables.mp446.30 MB
- 4. General preprocessing/6. Preprocessing few discrete variables.srt8.93 KB
- 4. General preprocessing/6.1 Preprocessing few discrete variables with comments.html188.00 Byte
- 4. General preprocessing/6.2 Preprocessing few discrete variables.html166.00 Byte
- 4. General preprocessing/7. Preprocessing few discrete variables.html141.00 Byte
- 4. General preprocessing/8. Check for missing values and clean.mp425.09 MB
- 4. General preprocessing/8. Check for missing values and clean.srt4.55 KB
- 4. General preprocessing/8.1 Check for missing values and clean with comments.html188.00 Byte
- 4. General preprocessing/8.2 Check for missing values and clean.html166.00 Byte
- 4. General preprocessing/9. Check for missing values and clean.html141.00 Byte
- 5. PD Model Data Preparation/1. How is the PD model going to look like.mp437.60 MB
- 5. PD Model Data Preparation/1. How is the PD model going to look like.srt5.28 KB
- 5. PD Model Data Preparation/10. Data preparation. Splitting data.html141.00 Byte
- 5. PD Model Data Preparation/11. Data preparation. An example.mp449.90 MB
- 5. PD Model Data Preparation/11. Data preparation. An example.srt11.11 KB
- 5. PD Model Data Preparation/11.1 Data preparation. An example with comments.html188.00 Byte
- 5. PD Model Data Preparation/11.2 Data preparation. An example.html166.00 Byte
- 5. PD Model Data Preparation/12. Data preparation. An example.html141.00 Byte
- 5. PD Model Data Preparation/13. Data preparation. Preprocessing discrete variables automating calculations.mp443.73 MB
- 5. PD Model Data Preparation/13. Data preparation. Preprocessing discrete variables automating calculations.srt7.80 KB
- 5. PD Model Data Preparation/13.1 Data preparation. Preprocessing discrete variables automating calculations.html166.00 Byte
- 5. PD Model Data Preparation/13.2 Data preparation. Preprocessing discrete variables automating calculations with comments.html188.00 Byte
- 5. PD Model Data Preparation/14. Data preparation. Preprocessing discrete variables automating calculations.html141.00 Byte
- 5. PD Model Data Preparation/15. Data preparation. Preprocessing discrete variables visualizing results.mp466.36 MB
- 5. PD Model Data Preparation/15. Data preparation. Preprocessing discrete variables visualizing results.srt12.91 KB
- 5. PD Model Data Preparation/15.1 Data preparation. Preprocessing discrete variables visualizing results with comments.html188.00 Byte
- 5. PD Model Data Preparation/15.2 Data preparation. Preprocessing discrete variables visualizing results.html166.00 Byte
- 5. PD Model Data Preparation/16. Data preparation. Preprocessing discrete variables creating dummies (Part 1).mp449.72 MB
- 5. PD Model Data Preparation/16. Data preparation. Preprocessing discrete variables creating dummies (Part 1).srt9.52 KB
- 5. PD Model Data Preparation/16.1 Data preparation. Preprocessing discrete variables creating dummies (Part 1).html166.00 Byte
- 5. PD Model Data Preparation/16.2 Data preparation. Preprocessing discrete variables creating dummies (Part 1) with comments.html188.00 Byte
- 5. PD Model Data Preparation/17. Data preparation. Preprocessing discrete variables creating dummies (Part 1).html141.00 Byte
- 5. PD Model Data Preparation/18. Data preparation. Preprocessing discrete variables creating dummies (Part 2).mp493.30 MB
- 5. PD Model Data Preparation/18. Data preparation. Preprocessing discrete variables creating dummies (Part 2).srt15.06 KB
- 5. PD Model Data Preparation/18.1 Data preparation. Preprocessing discrete variables creating dummies (Part 2) with comments.html189.00 Byte
- 5. PD Model Data Preparation/18.2 Data preparation. Preprocessing discrete variables creating dummies (Part 2).html167.00 Byte
- 5. PD Model Data Preparation/19. Data preparation. Preprocessing discrete variables creating dummies (Part 2).html141.00 Byte
- 5. PD Model Data Preparation/2. How is the PD model going to look like.html141.00 Byte
- 5. PD Model Data Preparation/20. Data preparation. Preprocessing discrete variables. Homework..html1.23 KB
- 5. PD Model Data Preparation/20.1 Data preparation. Preprocessing discrete variables Homework - Soluton.html167.00 Byte
- 5. PD Model Data Preparation/20.2 Data preparation. Preprocessing discrete variables. Homework with comments.html189.00 Byte
- 5. PD Model Data Preparation/21. Data preparation. Preprocessing continuous variables Automating calculations.mp445.07 MB
- 5. PD Model Data Preparation/21. Data preparation. Preprocessing continuous variables Automating calculations.srt6.63 KB
- 5. PD Model Data Preparation/21.1 Data preparation. Preprocessing continuous variables Automating calculations with comments.html189.00 Byte
- 5. PD Model Data Preparation/21.2 Data preparation. Preprocessing continuous variables Automating calculations.html167.00 Byte
- 5. PD Model Data Preparation/22. Data preparation. Preprocessing continuous variables Automating calculations.html141.00 Byte
- 5. PD Model Data Preparation/23. Data preparation. Preprocessing continuous variables creating dummies (Part 1).mp444.04 MB
- 5. PD Model Data Preparation/23. Data preparation. Preprocessing continuous variables creating dummies (Part 1).srt9.83 KB
- 5. PD Model Data Preparation/23.1 Data preparation. Preprocessing continuous variables creating dummies (Part 1) with comments.html189.00 Byte
- 5. PD Model Data Preparation/23.2 Data preparation. Preprocessing continuous variables creating dummies (Part 1).html167.00 Byte
- 5. PD Model Data Preparation/24. Data preparation. Preprocessing continuous variables creating dummies (Part 1).html141.00 Byte
- 5. PD Model Data Preparation/25. Data preparation. Preprocessing continuous variables creating dummies (Part 2).mp4111.80 MB
- 5. PD Model Data Preparation/25. Data preparation. Preprocessing continuous variables creating dummies (Part 2).srt19.37 KB
- 5. PD Model Data Preparation/25.1 Data preparation. Preprocessing continuous variables creating dummies (Part 2).html167.00 Byte
- 5. PD Model Data Preparation/25.2 Data preparation. Preprocessing continuous variables creating dummies (Part 2) with comments.html189.00 Byte
- 5. PD Model Data Preparation/26. Data preparation. Preprocessing continuous variables creating dummies (Part 2).html141.00 Byte
- 5. PD Model Data Preparation/27. Data preparation. Preprocessing continuous variables creating dummies. Homework.html1.90 KB
- 5. PD Model Data Preparation/27.1 Data preparation. Preprocessing continuous variables creating dummies. Homework with comments.html189.00 Byte
- 5. PD Model Data Preparation/27.2 Data preparation. Preprocessing continuous variables creating dummies. Homework.html167.00 Byte
- 5. PD Model Data Preparation/28. Data preparation. Preprocessing continuous variables creating dummies (Part 3).mp4100.95 MB
- 5. PD Model Data Preparation/28. Data preparation. Preprocessing continuous variables creating dummies (Part 3).srt16.86 KB
- 5. PD Model Data Preparation/28.1 Data preparation. Preprocessing continuous variables creating dummies (Part 3) with comments.html189.00 Byte
- 5. PD Model Data Preparation/28.2 Data preparation. Preprocessing continuous variables creating dummies (Part 3).html167.00 Byte
- 5. PD Model Data Preparation/29. Data preparation. Preprocessing continuous variables creating dummies (Part 3).html141.00 Byte
- 5. PD Model Data Preparation/3. Dependent variable Good Bad (default) definition.mp438.98 MB
- 5. PD Model Data Preparation/3. Dependent variable Good Bad (default) definition.srt7.13 KB
- 5. PD Model Data Preparation/3.1 Dependent variable GoodBad.html166.00 Byte
- 5. PD Model Data Preparation/3.2 Dependent variable GoodBad with comments.html188.00 Byte
- 5. PD Model Data Preparation/30. Data preparation. Preprocessing continuous variables creating dummies. Homework.html1.38 KB
- 5. PD Model Data Preparation/30.1 Data preparation. Preprocessing continuous variables creating dummies. Homework with comments.html189.00 Byte
- 5. PD Model Data Preparation/30.2 Data preparation. Preprocessing continuous variables creating dummies Homework - Solution.html167.00 Byte
- 5. PD Model Data Preparation/31. Data preparation. Preprocessing the test dataset.mp429.95 MB
- 5. PD Model Data Preparation/31. Data preparation. Preprocessing the test dataset.srt5.51 KB
- 5. PD Model Data Preparation/31.1 Data preparation. Preprocessing the test dataset with comments.html189.00 Byte
- 5. PD Model Data Preparation/31.2 Data preparation. Preprocessing the test dataset.html167.00 Byte
- 5. PD Model Data Preparation/32. PD model data preparation notebooks.html85.00 Byte
- 5. PD Model Data Preparation/32.1 PD model data preparation with comments.html178.00 Byte
- 5. PD Model Data Preparation/32.2 PD model data preparation.html156.00 Byte
- 5. PD Model Data Preparation/4. Dependent variable Good Bad (default) definition.html141.00 Byte
- 5. PD Model Data Preparation/5. Fine classing, weight of evidence, and coarse classing.mp455.35 MB
- 5. PD Model Data Preparation/5. Fine classing, weight of evidence, and coarse classing.srt8.67 KB
- 5. PD Model Data Preparation/6. Fine classing, weight of evidence, and coarse classing.html141.00 Byte
- 5. PD Model Data Preparation/7. Information value.mp444.70 MB
- 5. PD Model Data Preparation/7. Information value.srt6.85 KB
- 5. PD Model Data Preparation/8. Information value.html141.00 Byte
- 5. PD Model Data Preparation/9. Data preparation. Splitting data.mp459.39 MB
- 5. PD Model Data Preparation/9. Data preparation. Splitting data.srt11.54 KB
- 5. PD Model Data Preparation/9.1 Data preparation. Splitting data with comments.html188.00 Byte
- 5. PD Model Data Preparation/9.2 Data preparation. Splitting data.html166.00 Byte
- 6. PD model estimation/1. The PD model. Logistic regression with dummy variables.mp460.51 MB
- 6. PD model estimation/1. The PD model. Logistic regression with dummy variables.srt10.55 KB
- 6. PD model estimation/2. The PD model. Logistic regression with dummy variables.html141.00 Byte
- 6. PD model estimation/3. Loading the data and selecting the features.mp443.26 MB
- 6. PD model estimation/3. Loading the data and selecting the features.srt7.36 KB
- 6. PD model estimation/3.1 Loading the data and selecting the features.html165.00 Byte
- 6. PD model estimation/3.2 Loading the data and selecting the features with comments.html187.00 Byte
- 6. PD model estimation/4. PD model estimation.mp424.92 MB
- 6. PD model estimation/4. PD model estimation.srt4.93 KB
- 6. PD model estimation/4.1 PD model estimation with comments.html187.00 Byte
- 6. PD model estimation/4.2 PD model estimation.html165.00 Byte
- 6. PD model estimation/5. Build a logistic regression model with p-values.mp4102.46 MB
- 6. PD model estimation/5. Build a logistic regression model with p-values.srt14.49 KB
- 6. PD model estimation/5.1 Build a logistic regression model with p-values with comments.html187.00 Byte
- 6. PD model estimation/5.2 Build a logistic regression model with p-values.html165.00 Byte
- 6. PD model estimation/6. Build a logistic regression model with p-values.html141.00 Byte
- 6. PD model estimation/7. Interpreting the coefficients in the PD model.mp435.23 MB
- 6. PD model estimation/7. Interpreting the coefficients in the PD model.srt7.99 KB
- 6. PD model estimation/8. Interpreting the coefficients in the PD model.html141.00 Byte
- 7. PD model validation/1. Out-of-sample validation (test).mp452.42 MB
- 7. PD model validation/1. Out-of-sample validation (test).srt8.79 KB
- 7. PD model validation/1.1 Out-of-sample validation (test) with comments.html187.00 Byte
- 7. PD model validation/1.2 Out-of-sample validation (test).html165.00 Byte
- 7. PD model validation/2. Out-of-sample validation (test).html141.00 Byte
- 7. PD model validation/3. Evaluation of model performance accuracy and area under the curve (AUC).mp475.90 MB
- 7. PD model validation/3. Evaluation of model performance accuracy and area under the curve (AUC).srt14.40 KB
- 7. PD model validation/3.1 Evaluation of model performance accuracy and area under the curve (AUC).html165.00 Byte
- 7. PD model validation/3.2 Evaluation of model performance accuracy and area under the curve (AUC) with comments.html187.00 Byte
- 7. PD model validation/4. Evaluation of model performance accuracy and area under the curve (AUC).html141.00 Byte
- 7. PD model validation/5. Evaluation of model performance Gini and Kolmogorov-Smirnov.mp469.87 MB
- 7. PD model validation/5. Evaluation of model performance Gini and Kolmogorov-Smirnov.srt13.46 KB
- 7. PD model validation/5.1 Evaluation of model performance Gini and Kolmogorov-Smirnov.html165.00 Byte
- 7. PD model validation/5.2 Evaluation of model performance Gini and Kolmogorov-Smirnov with comments.html187.00 Byte
- 7. PD model validation/6. Evaluation of model performance Gini and Kolmogorov-Smirnov.html141.00 Byte
- 8. Applying the PD Model for decision making/1. Calculating probability of default for a single customer.mp439.74 MB
- 8. Applying the PD Model for decision making/1. Calculating probability of default for a single customer.srt5.55 KB
- 8. Applying the PD Model for decision making/1.1 Calculating probability of default for a single customer.html165.00 Byte
- 8. Applying the PD Model for decision making/1.2 Calculating probability of default for a single customer with comments.html187.00 Byte
- 8. Applying the PD Model for decision making/10. Setting cut-offs. Homework.html957.00 Byte
- 8. Applying the PD Model for decision making/11. PD model logistic regression notebooks.html73.00 Byte
- 8. Applying the PD Model for decision making/11.1 PD model complete with comments.html177.00 Byte
- 8. Applying the PD Model for decision making/11.2 PD model complete.html155.00 Byte
- 8. Applying the PD Model for decision making/2. Creating a scorecard.mp497.45 MB
- 8. Applying the PD Model for decision making/2. Creating a scorecard.srt16.75 KB
- 8. Applying the PD Model for decision making/2.1 Creating a scorecard with comments.html187.00 Byte
- 8. Applying the PD Model for decision making/2.2 Creating a scorecard.html165.00 Byte
- 8. Applying the PD Model for decision making/3. Creating a scorecard.html141.00 Byte
- 8. Applying the PD Model for decision making/4. Calculating credit score.mp441.15 MB
- 8. Applying the PD Model for decision making/4. Calculating credit score.srt7.54 KB
- 8. Applying the PD Model for decision making/4.1 Calculating credit score.html165.00 Byte
- 8. Applying the PD Model for decision making/4.2 Calculating credit score with comments.html187.00 Byte
- 8. Applying the PD Model for decision making/5. Calculating credit score.html141.00 Byte
- 8. Applying the PD Model for decision making/6. From credit score to PD.mp423.21 MB
- 8. Applying the PD Model for decision making/6. From credit score to PD.srt4.14 KB
- 8. Applying the PD Model for decision making/6.1 From credit score to PD.html165.00 Byte
- 8. Applying the PD Model for decision making/6.2 From credit score to PD with comments.html187.00 Byte
- 8. Applying the PD Model for decision making/7. From credit score to PD.html141.00 Byte
- 8. Applying the PD Model for decision making/8. Setting cut-offs.mp476.02 MB
- 8. Applying the PD Model for decision making/8. Setting cut-offs.srt11.41 KB
- 8. Applying the PD Model for decision making/8.1 Setting cut-offs with comments.html187.00 Byte
- 8. Applying the PD Model for decision making/8.2 Setting cut-offs.html165.00 Byte
- 8. Applying the PD Model for decision making/9. Setting cut-offs.html141.00 Byte
- 9. PD model monitoring/1. PD model monitoring via assessing population stability.mp439.03 MB
- 9. PD model monitoring/1. PD model monitoring via assessing population stability.srt6.85 KB
- 9. PD model monitoring/2. PD model monitoring via assessing population stability.html141.00 Byte
- 9. PD model monitoring/3. Population stability index preprocessing.mp4105.26 MB
- 9. PD model monitoring/3. Population stability index preprocessing.srt14.75 KB
- 9. PD model monitoring/4. Population stability index calculation and interpretation.mp491.65 MB
- 9. PD model monitoring/4. Population stability index calculation and interpretation.srt14.26 KB
- 9. PD model monitoring/4.1 Monitoring.html155.00 Byte
- 9. PD model monitoring/4.2 Monitoring with comments.html177.00 Byte
- 9. PD model monitoring/5. Population stability index calculation and interpretation.html141.00 Byte
- 9. PD model monitoring/6. Homework building an updated PD model.html820.00 Byte
- 9. PD model monitoring/6.1 Dataset with new data (loan_data_2015.csv).html126.00 Byte
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