[GigaCourse.Com] Udemy - Credit Risk Modeling in Python 2022

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[GigaCourse.Com] Udemy - Credit Risk Modeling in Python 2022

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收录时间：2023-12-27
最近下载：2025-07-26

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文件列表

  • 9 - PD model monitoring/56 - Population stability index preprocessing.mp4 96.6 MB
  • 5 - PD Model Data Preparation/34 - Data preparation Preprocessing continuous variables creating dummies Part 2.mp4 92.1 MB
  • 6 - PD model estimation/43 - Build a logistic regression model with p.mp4 91.5 MB
  • 5 - PD Model Data Preparation/36 - Data preparation Preprocessing continuous variables creating dummies Part 3.mp4 85.4 MB
  • 8 - Applying the PD Model for decision making/49 - Creating a scorecard.mp4 83.5 MB
  • 13 - Calculating expected loss/73 - Calculating expected loss.mp4 83.4 MB
  • 5 - PD Model Data Preparation/30 - Data preparation Preprocessing discrete variables creating dummies Part 2.mp4 79.0 MB
  • 1 - Introduction/1 - What does the course cover.mp4 76.5 MB
  • 8 - Applying the PD Model for decision making/52 - Setting cut.mp4 67.1 MB
  • 1 - Introduction/5 - Basel II approaches SA F.mp4 65.8 MB
  • 1 - Introduction/2 - What is credit risk and why is it important.mp4 61.0 MB
  • 9 - PD model monitoring/57 - Population stability index calculation and interpretation.mp4 59.8 MB
  • 5 - PD Model Data Preparation/23 - Fine classing weight of evidence and coarse classing.mp4 58.0 MB
  • 4 - General preprocessing/16 - Preprocessing few continuous variables.mp4 57.2 MB
  • 7 - PD model validation/46 - Evaluation of model performance accuracy and area under the curve AUC.mp4 50.6 MB
  • 1 - Introduction/3 - Expected loss EL and its components PD LGD and EAD.mp4 50.3 MB
  • 7 - PD model validation/47 - Evaluation of model performance Gini and Kolmogorov.mp4 46.9 MB
  • 5 - PD Model Data Preparation/33 - Data preparation Preprocessing continuous variables creating dummies Part 1.mp4 46.2 MB
  • 1 - Introduction/6 - Different facility types asset classes and credit risk modeling approaches.mp4 45.5 MB
  • 5 - PD Model Data Preparation/28 - Data preparation Preprocessing discrete variables visualizing results.mp4 43.6 MB
  • 8 - Applying the PD Model for decision making/50 - Calculating credit score.mp4 43.1 MB
  • 3 - Dataset description/13 - Our example consumer loans A first look at the dataset.mp4 38.5 MB
  • 5 - PD Model Data Preparation/29 - Data preparation Preprocessing discrete variables creating dummies Part 1.mp4 38.3 MB
  • 6 - PD model estimation/41 - Loading the data and selecting the features.mp4 38.1 MB
  • 6 - PD model estimation/44 - Interpreting the coefficients in the PD model.mp4 36.9 MB
  • 5 - PD Model Data Preparation/27 - Data preparation Preprocessing discrete variables automating calculations.mp4 36.7 MB
  • 5 - PD Model Data Preparation/32 - Data preparation Preprocessing continuous variables Automating calculations.mp4 35.8 MB
  • 7 - PD model validation/45 - Out.mp4 34.6 MB
  • 5 - PD Model Data Preparation/26 - Data preparation An example.mp4 34.1 MB
  • 11 - LGD model/63 - LGD model testing the model.mp4 33.5 MB
  • 11 - LGD model/66 - LGD model stage 2 linear regression.mp4 32.5 MB
  • 10 - LGD and EAD Models Preparing the data/59 - LGD and EAD models independent variables.mp4 31.9 MB
  • 12 - EAD model/70 - EAD model estimation and interpretation.mp4 31.0 MB
  • 4 - General preprocessing/18 - Preprocessing few discrete variables.mp4 30.8 MB
  • 5 - PD Model Data Preparation/25 - Data preparation Splitting data.mp4 30.0 MB
  • 5 - PD Model Data Preparation/22 - Dependent variable Good Bad default definition.mp4 29.8 MB
  • 6 - PD model estimation/40 - The PD model Logistic regression with dummy variables.mp4 28.2 MB
  • 10 - LGD and EAD Models Preparing the data/61 - LGD and EAD models distribution of recovery rates and credit conversion factors.mp4 26.7 MB
  • 10 - LGD and EAD Models Preparing the data/60 - LGD and EAD models dependent variables.mp4 26.2 MB
  • 4 - General preprocessing/15 - Importing the data into Python.mp4 26.0 MB
  • 3 - Dataset description/14 - Dependent variables and independent variables.mp4 25.2 MB
  • 11 - LGD model/64 - LGD model estimating the accuracy of the model.mp4 23.7 MB
  • 5 - PD Model Data Preparation/38 - Data preparation Preprocessing the test dataset.mp4 23.2 MB
  • 12 - EAD model/71 - EAD model validation.mp4 22.9 MB
  • 1 - Introduction/4 - Capital adequacy regulations and the Basel II accord.mp4 22.1 MB
  • 4 - General preprocessing/19 - Check for missing values and clean.mp4 21.8 MB
  • 5 - PD Model Data Preparation/24 - Information value.mp4 21.0 MB
  • 11 - LGD model/67 - LGD model stage 2 linear regression evaluation.mp4 20.7 MB
  • 6 - PD model estimation/42 - PD model estimation.mp4 19.2 MB
  • 9 - PD model monitoring/55 - PD model monitoring via assessing population stability.mp4 18.5 MB
  • 5 - PD Model Data Preparation/21 - How is the PD model going to look like.mp4 16.6 MB
  • 11 - LGD model/68 - LGD model combining stage 1 and stage 2.mp4 15.9 MB
  • 8 - Applying the PD Model for decision making/51 - From credit score to PD.mp4 15.2 MB
  • 11 - LGD model/65 - LGD model saving the model.mp4 15.1 MB
  • 2 - Setting up the working environment/11 - Jupyter Dashboard.mp4 12.9 MB
  • 8 - Applying the PD Model for decision making/48 - Calculating probability of default for a single customer.mp4 12.5 MB
  • 11 - LGD model/62 - LGD model preparing the inputs.mp4 11.9 MB
  • 2 - Setting up the working environment/9 - Installing Anaconda.mp4 10.5 MB
  • 2 - Setting up the working environment/8 - Why Python and why Jupyter.mp4 10.3 MB
  • 2 - Setting up the working environment/10 - Jupyter Dashboard.mp4 4.7 MB
  • 2 - Setting up the working environment/12 - Installing the sklearn package.mp4 3.4 MB
  • 2 - Setting up the working environment/7 - Setting up the environment.mp4 1.9 MB
  • 2 - Setting up the working environment/11 - ShortcutsforJupyter.pdf 634.0 kB
  • 13 - Calculating expected loss/73 - Calculating expected loss French.vtt 21.5 kB
  • 3 - Dataset description/13 - LCDataDictionaryxlsx 20.1 kB
  • 5 - PD Model Data Preparation/34 - Data preparation Preprocessing continuous variables creating dummies Part 2 French.vtt 19.6 kB
  • 13 - Calculating expected loss/73 - Calculating expected loss English.vtt 18.5 kB
  • 4 - General preprocessing/16 - Preprocessing few continuous variables French.vtt 18.0 kB
  • 5 - PD Model Data Preparation/34 - Data preparation Preprocessing continuous variables creating dummies Part 2 English.vtt 17.5 kB
  • 5 - PD Model Data Preparation/36 - Data preparation Preprocessing continuous variables creating dummies Part 3 French.vtt 17.2 kB
  • 8 - Applying the PD Model for decision making/49 - Creating a scorecard French.vtt 16.9 kB
  • 4 - General preprocessing/16 - Preprocessing few continuous variables English.vtt 15.6 kB
  • 5 - PD Model Data Preparation/30 - Data preparation Preprocessing discrete variables creating dummies Part 2 French.vtt 15.4 kB
  • 9 - PD model monitoring/56 - Population stability index preprocessing French.vtt 15.3 kB
  • 8 - Applying the PD Model for decision making/49 - Creating a scorecard English.vtt 15.1 kB
  • 6 - PD model estimation/43 - Build a logistic regression model with p French.vtt 15.0 kB
  • 5 - PD Model Data Preparation/36 - Data preparation Preprocessing continuous variables creating dummies Part 3 English.vtt 15.0 kB
  • 9 - PD model monitoring/57 - Population stability index calculation and interpretation French.vtt 14.7 kB
  • 7 - PD model validation/46 - Evaluation of model performance accuracy and area under the curve AUC French.vtt 14.5 kB
  • 5 - PD Model Data Preparation/30 - Data preparation Preprocessing discrete variables creating dummies Part 2 English.vtt 13.8 kB
  • 7 - PD model validation/47 - Evaluation of model performance Gini and Kolmogorov French.vtt 13.6 kB
  • 6 - PD model estimation/43 - Build a logistic regression model with p English.vtt 13.1 kB
  • 5 - PD Model Data Preparation/28 - Data preparation Preprocessing discrete variables visualizing results French.vtt 13.1 kB
  • 7 - PD model validation/46 - Evaluation of model performance accuracy and area under the curve AUC English.vtt 13.1 kB
  • 9 - PD model monitoring/56 - Population stability index preprocessing English.vtt 13.0 kB
  • 1 - Introduction/5 - Basel II approaches SA F French.vtt 13.0 kB
  • 9 - PD model monitoring/57 - Population stability index calculation and interpretation English.vtt 12.8 kB
  • 1 - Introduction/6 - Different facility types asset classes and credit risk modeling approaches French.vtt 12.5 kB
  • 7 - PD model validation/47 - Evaluation of model performance Gini and Kolmogorov English.vtt 12.3 kB
  • 5 - PD Model Data Preparation/25 - Data preparation Splitting data French.vtt 11.9 kB
  • 1 - Introduction/5 - Basel II approaches SA F English.vtt 11.5 kB
  • 8 - Applying the PD Model for decision making/52 - Setting cut French.vtt 11.4 kB
  • 5 - PD Model Data Preparation/28 - Data preparation Preprocessing discrete variables visualizing results English.vtt 11.4 kB
  • 1 - Introduction/6 - Different facility types asset classes and credit risk modeling approaches English.vtt 11.1 kB
  • 5 - PD Model Data Preparation/26 - Data preparation An example French.vtt 11.1 kB
  • 6 - PD model estimation/40 - The PD model Logistic regression with dummy variables French.vtt 10.9 kB
  • 8 - Applying the PD Model for decision making/52 - Setting cut English.vtt 10.3 kB
  • 5 - PD Model Data Preparation/25 - Data preparation Splitting data English.vtt 10.1 kB
  • 5 - PD Model Data Preparation/33 - Data preparation Preprocessing continuous variables creating dummies Part 1 French.vtt 10.0 kB
  • 5 - PD Model Data Preparation/26 - Data preparation An example English.vtt 10.0 kB
  • 5 - PD Model Data Preparation/29 - Data preparation Preprocessing discrete variables creating dummies Part 1 French.vtt 9.9 kB
  • 6 - PD model estimation/40 - The PD model Logistic regression with dummy variables English.vtt 9.9 kB
  • 7 - PD model validation/45 - Out French.vtt 9.6 kB
  • 4 - General preprocessing/18 - Preprocessing few discrete variables French.vtt 9.3 kB
  • 10 - LGD and EAD Models Preparing the data/59 - LGD and EAD models independent variables French.vtt 8.9 kB
  • 5 - PD Model Data Preparation/33 - Data preparation Preprocessing continuous variables creating dummies Part 1 English.vtt 8.9 kB
  • 5 - PD Model Data Preparation/23 - Fine classing weight of evidence and coarse classing French.vtt 8.8 kB
  • 5 - PD Model Data Preparation/29 - Data preparation Preprocessing discrete variables creating dummies Part 1 English.vtt 8.6 kB
  • 12 - EAD model/70 - EAD model estimation and interpretation French.vtt 8.4 kB
  • 1 - Introduction/1 - What does the course cover French.vtt 8.2 kB
  • 4 - General preprocessing/18 - Preprocessing few discrete variables English.vtt 8.2 kB
  • 3 - Dataset description/14 - Dependent variables and independent variables French.vtt 8.2 kB
  • 6 - PD model estimation/44 - Interpreting the coefficients in the PD model French.vtt 8.1 kB
  • 10 - LGD and EAD Models Preparing the data/61 - LGD and EAD models distribution of recovery rates and credit conversion factors French.vtt 8.1 kB
  • 5 - PD Model Data Preparation/27 - Data preparation Preprocessing discrete variables automating calculations French.vtt 8.1 kB
  • 7 - PD model validation/45 - Out English.vtt 7.9 kB
  • 5 - PD Model Data Preparation/23 - Fine classing weight of evidence and coarse classing English.vtt 7.9 kB
  • 8 - Applying the PD Model for decision making/50 - Calculating credit score French.vtt 7.8 kB
  • 6 - PD model estimation/41 - Loading the data and selecting the features French.vtt 7.7 kB
  • 10 - LGD and EAD Models Preparing the data/59 - LGD and EAD models independent variables English.vtt 7.7 kB
  • 5 - PD Model Data Preparation/22 - Dependent variable Good Bad default definition French.vtt 7.5 kB
  • 12 - EAD model/70 - EAD model estimation and interpretation English.vtt 7.5 kB
  • 3 - Dataset description/14 - Dependent variables and independent variables English.vtt 7.4 kB
  • 6 - PD model estimation/44 - Interpreting the coefficients in the PD model English.vtt 7.3 kB
  • 9 - PD model monitoring/55 - PD model monitoring via assessing population stability French.vtt 7.3 kB
  • 1 - Introduction/1 - What does the course cover English.vtt 7.3 kB
  • 11 - LGD model/63 - LGD model testing the model French.vtt 7.2 kB
  • 2 - Setting up the working environment/11 - Jupyter Dashboard French.vtt 7.1 kB
  • 10 - LGD and EAD Models Preparing the data/60 - LGD and EAD models dependent variables French.vtt 7.1 kB
  • 5 - PD Model Data Preparation/27 - Data preparation Preprocessing discrete variables automating calculations English.vtt 7.1 kB
  • 5 - PD Model Data Preparation/24 - Information value French.vtt 7.1 kB
  • 10 - LGD and EAD Models Preparing the data/61 - LGD and EAD models distribution of recovery rates and credit conversion factors English.vtt 6.9 kB
  • 8 - Applying the PD Model for decision making/50 - Calculating credit score English.vtt 6.9 kB
  • 5 - PD Model Data Preparation/32 - Data preparation Preprocessing continuous variables Automating calculations French.vtt 6.7 kB
  • 2 - Setting up the working environment/8 - Why Python and why Jupyter French.vtt 6.6 kB
  • 6 - PD model estimation/41 - Loading the data and selecting the features English.vtt 6.6 kB
  • 5 - PD Model Data Preparation/22 - Dependent variable Good Bad default definition English.vtt 6.5 kB
  • 1 - Introduction/2 - What is credit risk and why is it important French.vtt 6.4 kB
  • 11 - LGD model/63 - LGD model testing the model English.vtt 6.4 kB
  • 5 - PD Model Data Preparation/24 - Information value English.vtt 6.3 kB
  • 9 - PD model monitoring/55 - PD model monitoring via assessing population stability English.vtt 6.2 kB
  • 2 - Setting up the working environment/11 - Jupyter Dashboard English.vtt 6.2 kB
  • 5 - PD Model Data Preparation/38 - Data preparation Preprocessing the test dataset French.vtt 6.1 kB
  • 11 - LGD model/64 - LGD model estimating the accuracy of the model French.vtt 6.0 kB
  • 10 - LGD and EAD Models Preparing the data/60 - LGD and EAD models dependent variables English.vtt 6.0 kB
  • 4 - General preprocessing/15 - Importing the data into Python French.vtt 6.0 kB
  • 2 - Setting up the working environment/8 - Why Python and why Jupyter English.vtt 5.9 kB
  • 5 - PD Model Data Preparation/32 - Data preparation Preprocessing continuous variables Automating calculations English.vtt 5.9 kB
  • 1 - Introduction/4 - Capital adequacy regulations and the Basel II accord French.vtt 5.9 kB
  • 12 - EAD model/71 - EAD model validation French.vtt 5.8 kB
  • 8 - Applying the PD Model for decision making/48 - Calculating probability of default for a single customer French.vtt 5.7 kB
  • 1 - Introduction/2 - What is credit risk and why is it important English.vtt 5.6 kB
  • 11 - LGD model/66 - LGD model stage 2 linear regression French.vtt 5.6 kB
  • 5 - PD Model Data Preparation/21 - How is the PD model going to look like French.vtt 5.5 kB
  • 8 - Applying the PD Model for decision making/48 - Calculating probability of default for a single customer English.vtt 5.4 kB
  • 1 - Introduction/3 - Expected loss EL and its components PD LGD and EAD French.vtt 5.4 kB
  • 11 - LGD model/64 - LGD model estimating the accuracy of the model English.vtt 5.2 kB
  • 1 - Introduction/4 - Capital adequacy regulations and the Basel II accord English.vtt 5.2 kB
  • 6 - PD model estimation/42 - PD model estimation French.vtt 5.2 kB
  • 12 - EAD model/71 - EAD model validation English.vtt 5.1 kB
  • 4 - General preprocessing/15 - Importing the data into Python English.vtt 5.0 kB
  • 5 - PD Model Data Preparation/38 - Data preparation Preprocessing the test dataset English.vtt 5.0 kB
  • 11 - LGD model/62 - LGD model preparing the inputs French.vtt 4.8 kB
  • 5 - PD Model Data Preparation/21 - How is the PD model going to look like English.vtt 4.8 kB
  • 1 - Introduction/3 - Expected loss EL and its components PD LGD and EAD English.vtt 4.8 kB
  • 2 - Setting up the working environment/9 - Installing Anaconda French.vtt 4.8 kB
  • 11 - LGD model/66 - LGD model stage 2 linear regression English.vtt 4.7 kB
  • 11 - LGD model/67 - LGD model stage 2 linear regression evaluation French.vtt 4.7 kB
  • 4 - General preprocessing/19 - Check for missing values and clean French.vtt 4.7 kB
  • 6 - PD model estimation/42 - PD model estimation English.vtt 4.5 kB
  • 11 - LGD model/68 - LGD model combining stage 1 and stage 2 French.vtt 4.5 kB
  • 8 - Applying the PD Model for decision making/51 - From credit score to PD French.vtt 4.3 kB
  • 11 - LGD model/65 - LGD model saving the model French.vtt 4.2 kB
  • 3 - Dataset description/13 - Our example consumer loans A first look at the dataset French.vtt 4.1 kB
  • 2 - Setting up the working environment/9 - Installing Anaconda English.vtt 4.1 kB
  • 11 - LGD model/67 - LGD model stage 2 linear regression evaluation English.vtt 4.1 kB
  • 4 - General preprocessing/19 - Check for missing values and clean English.vtt 4.1 kB
  • 11 - LGD model/62 - LGD model preparing the inputs English.vtt 3.9 kB
  • 11 - LGD model/68 - LGD model combining stage 1 and stage 2 English.vtt 3.8 kB
  • 8 - Applying the PD Model for decision making/51 - From credit score to PD English.vtt 3.8 kB
  • 11 - LGD model/65 - LGD model saving the model English.vtt 3.6 kB
  • 3 - Dataset description/13 - Our example consumer loans A first look at the dataset English.vtt 3.5 kB
  • 2 - Setting up the working environment/10 - Jupyter Dashboard French.vtt 3.3 kB
  • 2 - Setting up the working environment/10 - Jupyter Dashboard English.vtt 2.8 kB
  • 13 - Calculating expected loss/75 - Completing 100.html 2.2 kB
  • 2 - Setting up the working environment/12 - Installing the sklearn package French.vtt 2.0 kB
  • 5 - PD Model Data Preparation/35 - Data preparation Preprocessing continuous variables creating dummies Homework.html 1.9 kB
  • 2 - Setting up the working environment/12 - Installing the sklearn package English.vtt 1.7 kB
  • 11 - LGD model/69 - Homework building an updated LGD model.html 1.5 kB
  • 5 - PD Model Data Preparation/37 - Data preparation Preprocessing continuous variables creating dummies Homework.html 1.4 kB
  • 2 - Setting up the working environment/7 - Setting up the environment French.vtt 1.3 kB
  • 5 - PD Model Data Preparation/31 - Data preparation Preprocessing discrete variables Homework.html 1.3 kB
  • 2 - Setting up the working environment/7 - Setting up the environment English.vtt 1.2 kB
  • 13 - Calculating expected loss/74 - Homework calculate expected loss on more recent data.html 974 Bytes
  • 8 - Applying the PD Model for decision making/53 - Setting cutoffs Homework.html 957 Bytes
  • 4 - General preprocessing/17 - Preprocessing few continuous variables Homework.html 919 Bytes
  • 12 - EAD model/72 - Homework building an updated EAD model.html 875 Bytes
  • 9 - PD model monitoring/58 - Homework building an updated PD model.html 820 Bytes
  • 4 - General preprocessing/20 - Check for missing values and clean Homework.html 668 Bytes
  • 13 - Calculating expected loss/73 - Calculating expected loss with comments.txt 146 Bytes
  • 13 - Calculating expected loss/74 - Calculating expected loss complete notebook with comments.txt 146 Bytes
  • 10 - LGD and EAD Models Preparing the data/59 - LGD and EAD models independent variables with comments.txt 141 Bytes
  • 10 - LGD and EAD Models Preparing the data/60 - LGD and EAD models dependent variables with comments.txt 141 Bytes
  • 10 - LGD and EAD Models Preparing the data/61 - LGD and EAD models distribution of recovery rates and credit conversion factors with comments.txt 141 Bytes
  • 11 - LGD model/62 - LGD model preparing the inputs with comments.txt 141 Bytes
  • 11 - LGD model/63 - LGD model testing the model with comments.txt 141 Bytes
  • 11 - LGD model/64 - LGD model estimating the accuracy of the model with comments.txt 141 Bytes
  • 11 - LGD model/65 - LGD model saving the model with comments.txt 141 Bytes
  • 11 - LGD model/66 - LGD model stage 2 linear regression with comments.txt 141 Bytes
  • 11 - LGD model/67 - LGD model stage 2 linear regression evaluation with comments.txt 141 Bytes
  • 11 - LGD model/68 - LGD model combining stage 1 and stage 2 with comments.txt 141 Bytes
  • 12 - EAD model/70 - EAD model estimation and interpretation with comments.txt 141 Bytes
  • 12 - EAD model/71 - EAD model validation with comments.txt 141 Bytes
  • 5 - PD Model Data Preparation/30 - Data preparation Preprocessing discrete variables creating dummies Part 2 with comments.txt 128 Bytes
  • 5 - PD Model Data Preparation/31 - Data preparation Preprocessing discrete variables Homework with comments.txt 128 Bytes
  • 5 - PD Model Data Preparation/32 - Data preparation Preprocessing continuous variables Automating calculations with comments.txt 128 Bytes
  • 5 - PD Model Data Preparation/33 - Data preparation Preprocessing continuous variables creating dummies Part 1 with comments.txt 128 Bytes
  • 5 - PD Model Data Preparation/34 - Data preparation Preprocessing continuous variables creating dummies Part 2 with comments.txt 128 Bytes
  • 5 - PD Model Data Preparation/35 - Data preparation Preprocessing continuous variables creating dummies Homework with comments.txt 128 Bytes
  • 5 - PD Model Data Preparation/36 - Data preparation Preprocessing continuous variables creating dummies Part 3 with comments.txt 128 Bytes
  • 5 - PD Model Data Preparation/37 - Data preparation Preprocessing continuous variables creating dummies Homework with comments.txt 128 Bytes
  • 5 - PD Model Data Preparation/38 - Data preparation Preprocessing the test dataset with comments.txt 128 Bytes
  • 3 - Dataset description/13 - Data preparation with comments.txt 127 Bytes
  • 4 - General preprocessing/15 - Importing the data into Python with comments.txt 127 Bytes
  • 4 - General preprocessing/16 - Preprocessing few continuous variables with comments.txt 127 Bytes
  • 4 - General preprocessing/17 - Preprocessing few continuous variables Homework Solution with comments.txt 127 Bytes
  • 4 - General preprocessing/18 - Preprocessing few discrete variables with comments.txt 127 Bytes
  • 4 - General preprocessing/19 - Check for missing values and clean with comments.txt 127 Bytes
  • 4 - General preprocessing/20 - Check for missing values and clean the data Homework Solution with comments.txt 127 Bytes
  • 5 - PD Model Data Preparation/22 - Dependent variable GoodBad with comments.txt 127 Bytes
  • 5 - PD Model Data Preparation/25 - Data preparation Splitting data with comments.txt 127 Bytes
  • 5 - PD Model Data Preparation/26 - Data preparation An example with comments.txt 127 Bytes
  • 5 - PD Model Data Preparation/27 - Data preparation Preprocessing discrete variables automating calculations with comments.txt 127 Bytes
  • 5 - PD Model Data Preparation/28 - Data preparation Preprocessing discrete variables visualizing results with comments.txt 127 Bytes
  • 5 - PD Model Data Preparation/29 - Data preparation Preprocessing discrete variables creating dummies Part 1 with comments.txt 127 Bytes
  • 6 - PD model estimation/41 - Loading the data and selecting the features with comments.txt 126 Bytes
  • 6 - PD model estimation/42 - PD model estimation with comments.txt 126 Bytes
  • 6 - PD model estimation/43 - Build a logistic regression model with pvalues with comments.txt 126 Bytes
  • 7 - PD model validation/45 - Outofsample validation test with comments.txt 126 Bytes
  • 7 - PD model validation/46 - Evaluation of model performance accuracy and area under the curve AUC with comments.txt 126 Bytes
  • 7 - PD model validation/47 - Evaluation of model performance Gini and KolmogorovSmirnov with comments.txt 126 Bytes
  • 8 - Applying the PD Model for decision making/48 - Calculating probability of default for a single customer with comments.txt 126 Bytes
  • 8 - Applying the PD Model for decision making/49 - Creating a scorecard with comments.txt 126 Bytes
  • 8 - Applying the PD Model for decision making/50 - Calculating credit score with comments.txt 126 Bytes
  • 8 - Applying the PD Model for decision making/51 - From credit score to PD with comments.txt 126 Bytes
  • 8 - Applying the PD Model for decision making/52 - Setting cutoffs with comments.txt 126 Bytes
  • 13 - Calculating expected loss/73 - Calculating expected loss.txt 124 Bytes
  • 13 - Calculating expected loss/74 - Calculating expected loss complete notebook.txt 124 Bytes
  • 0. Websites you may like/[CourseClub.Me].url 122 Bytes
  • 11 - LGD model/[CourseClub.Me].url 122 Bytes
  • 2 - Setting up the working environment/[CourseClub.Me].url 122 Bytes
  • 7 - PD model validation/[CourseClub.Me].url 122 Bytes
  • [CourseClub.Me].url 122 Bytes
  • 10 - LGD and EAD Models Preparing the data/59 - LGD and EAD models independent variables.txt 119 Bytes
  • 10 - LGD and EAD Models Preparing the data/60 - LGD and EAD models dependent variables.txt 119 Bytes
  • 10 - LGD and EAD Models Preparing the data/61 - LGD and EAD models distribution of recovery rates and credit conversion factors.txt 119 Bytes
  • 11 - LGD model/62 - LGD model preparing the inputs.txt 119 Bytes
  • 11 - LGD model/63 - LGD model testing the model.txt 119 Bytes
  • 11 - LGD model/64 - LGD model estimating the accuracy of the model.txt 119 Bytes
  • 11 - LGD model/65 - LGD model saving the model.txt 119 Bytes
  • 11 - LGD model/66 - LGD model stage 2 linear regression.txt 119 Bytes
  • 11 - LGD model/67 - LGD model stage 2 linear regression evaluation.txt 119 Bytes
  • 11 - LGD model/68 - LGD model combining stage 1 and stage 2.txt 119 Bytes
  • 12 - EAD model/70 - EAD model estimation and interpretation.txt 119 Bytes
  • 12 - EAD model/71 - EAD model validation.txt 119 Bytes
  • 5 - PD Model Data Preparation/39 - PD model data preparation with comments.txt 117 Bytes
  • 8 - Applying the PD Model for decision making/54 - PD model complete with comments.txt 116 Bytes
  • 9 - PD model monitoring/57 - Monitoring with comments.txt 116 Bytes
  • 5 - PD Model Data Preparation/30 - Data preparation Preprocessing discrete variables creating dummies Part 2.txt 106 Bytes
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  • 3 - Dataset description/13 - Data Preparation.txt 105 Bytes
  • 4 - General preprocessing/15 - Importing the data into Python.txt 105 Bytes
  • 4 - General preprocessing/16 - Preprocessing few continuous variables.txt 105 Bytes
  • 4 - General preprocessing/17 - Preprocessing few continuous variables Homework Solution.txt 105 Bytes
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  • 4 - General preprocessing/19 - Check for missing values and clean.txt 105 Bytes
  • 4 - General preprocessing/20 - Check for missing values and clean the data Homework Solution.txt 105 Bytes
  • 5 - PD Model Data Preparation/22 - Dependent variable GoodBad.txt 105 Bytes
  • 5 - PD Model Data Preparation/25 - Data preparation Splitting data.txt 105 Bytes
  • 5 - PD Model Data Preparation/26 - Data preparation An example.txt 105 Bytes
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  • 6 - PD model estimation/41 - Loading the data and selecting the features.txt 104 Bytes
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  • 7 - PD model validation/47 - Evaluation of model performance Gini and KolmogorovSmirnov.txt 104 Bytes
  • 8 - Applying the PD Model for decision making/48 - Calculating probability of default for a single customer.txt 104 Bytes
  • 8 - Applying the PD Model for decision making/49 - Creating a scorecard.txt 104 Bytes
  • 8 - Applying the PD Model for decision making/50 - Calculating credit score.txt 104 Bytes
  • 8 - Applying the PD Model for decision making/51 - From credit score to PD.txt 104 Bytes
  • 8 - Applying the PD Model for decision making/52 - Setting cutoffs.txt 104 Bytes
  • 5 - PD Model Data Preparation/39 - PD model data preparation.txt 95 Bytes
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  • 9 - PD model monitoring/57 - Monitoring.txt 94 Bytes
  • 5 - PD Model Data Preparation/39 - PD model data preparation notebooks.html 85 Bytes
  • 10 - LGD and EAD Models Preparing the data/59 - loandata20072014preprocessedcsv.txt 83 Bytes
  • 11 - LGD model/62 - loandata20072014preprocessedcsv.txt 83 Bytes
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  • 9 - PD model monitoring/58 - Dataset with new data loandata2015csv.txt 65 Bytes
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  • 1 - Introduction/1 - What is credit risk and why is it important.html 0 Bytes
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  • 1 - Introduction/3 - Capital adequacy regulations and the Basel II accord.html 0 Bytes
  • 1 - Introduction/4 - Basel II approaches SA FIRB and AIRB.html 0 Bytes
  • 1 - Introduction/5 - Different facility types asset classes and credit risk modeling approaches.html 0 Bytes
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  • 13 - Calculating expected loss/46 - Calculating expected loss.html 0 Bytes
  • 3 - Dataset description/6 - Our example consumer loans A first look at the dataset.html 0 Bytes
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  • 6 - PD model estimation/25 - The PD model Logistic regression with dummy variables.html 0 Bytes
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  • 9 - PD model monitoring/35 - PD model monitoring via assessing population stability.html 0 Bytes
  • 9 - PD model monitoring/36 - Population stability index calculation and interpretation.html 0 Bytes

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