磁力链接

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API Integration

文件列表

  • ~Get Your Files Here !/1. Introduction/1. Introduction.mp4 116.7 MB
  • ~Get Your Files Here !/7. Running the Machine Learning Algorithm/3. The meaning of Results.mp4 102.0 MB
  • ~Get Your Files Here !/4. Preprocessing Data/3. Creating Ownership Dummy Variables.mp4 95.0 MB
  • ~Get Your Files Here !/4. Preprocessing Data/2. Creating Gender Dummy Variables.mp4 94.9 MB
  • ~Get Your Files Here !/2. Theoretical Background for Credit Risk/1. What is Credit Risk.mp4 92.7 MB
  • ~Get Your Files Here !/5. Continuous Variables/3. Coding of variables Maturity of the Loan.mp4 71.2 MB
  • ~Get Your Files Here !/3. Data Overview/1. Data Overview.mp4 70.0 MB
  • ~Get Your Files Here !/8. Validation of Results/1. Applying the results into test dataset.mp4 57.9 MB
  • ~Get Your Files Here !/4. Preprocessing Data/5. Coding of the Dependent Variable.mp4 57.5 MB
  • ~Get Your Files Here !/4. Preprocessing Data/11. Weight of Evidence- Grade.mp4 53.6 MB
  • ~Get Your Files Here !/4. Preprocessing Data/8. Weight of Evidence- School Level.mp4 50.7 MB
  • ~Get Your Files Here !/4. Preprocessing Data/9. Weight of Evidence- Work Sector and Residence.mp4 49.6 MB
  • ~Get Your Files Here !/4. Preprocessing Data/4. Relationship Status Dummy Variables.mp4 47.4 MB
  • ~Get Your Files Here !/5. Continuous Variables/2. .Coding of Variables Age in Years.mp4 43.8 MB
  • ~Get Your Files Here !/4. Preprocessing Data/6. Weight of Evidence Male and Female.mp4 42.4 MB
  • ~Get Your Files Here !/7. Running the Machine Learning Algorithm/1. Problems with Running Regressions.mp4 42.3 MB
  • ~Get Your Files Here !/6. Choosing Variables for Machine Learning Algorithm/3. Installing Real Statistics.mp4 42.1 MB
  • ~Get Your Files Here !/5. Continuous Variables/4. Multicollinearity of Variables.mp4 42.0 MB
  • ~Get Your Files Here !/5. Continuous Variables/5. Weight of Evidence for Age in Years.mp4 40.2 MB
  • ~Get Your Files Here !/4. Preprocessing Data/1. Combining Data.mp4 38.6 MB
  • ~Get Your Files Here !/6. Choosing Variables for Machine Learning Algorithm/1. Choosing Variables for Machine Learning Algorithm.mp4 33.8 MB
  • ~Get Your Files Here !/7. Running the Machine Learning Algorithm/2. Running the Machine Learning Algorithm.mp4 33.3 MB
  • ~Get Your Files Here !/2. Theoretical Background for Credit Risk/2. Expected Losses.mp4 29.9 MB
  • ~Get Your Files Here !/5. Continuous Variables/6. Weight of Evidence Maturity.mp4 27.9 MB
  • ~Get Your Files Here !/5. Continuous Variables/1. Continuous Varisbes.mp4 27.2 MB
  • ~Get Your Files Here !/6. Choosing Variables for Machine Learning Algorithm/2. Coding of Grade.mp4 27.1 MB
  • ~Get Your Files Here !/4. Preprocessing Data/7. Weight of Evidence - Rural vs Urban.mp4 26.3 MB
  • ~Get Your Files Here !/4. Preprocessing Data/10. Weight of Evidence - Relationship Status.mp4 16.0 MB
  • ~Get Your Files Here !/7. Running the Machine Learning Algorithm/3. The meaning of Results.srt 11.1 kB
  • ~Get Your Files Here !/1. Introduction/1. Introduction.srt 8.8 kB
  • ~Get Your Files Here !/2. Theoretical Background for Credit Risk/1. What is Credit Risk.srt 7.8 kB
  • ~Get Your Files Here !/4. Preprocessing Data/8. Weight of Evidence- School Level.srt 7.4 kB
  • ~Get Your Files Here !/8. Validation of Results/1. Applying the results into test dataset.srt 7.3 kB
  • ~Get Your Files Here !/4. Preprocessing Data/2. Creating Gender Dummy Variables.srt 7.2 kB
  • ~Get Your Files Here !/4. Preprocessing Data/3. Creating Ownership Dummy Variables.srt 7.2 kB
  • ~Get Your Files Here !/4. Preprocessing Data/11. Weight of Evidence- Grade.srt 6.5 kB
  • ~Get Your Files Here !/4. Preprocessing Data/6. Weight of Evidence Male and Female.srt 6.2 kB
  • ~Get Your Files Here !/2. Theoretical Background for Credit Risk/2. Expected Losses.srt 6.0 kB
  • ~Get Your Files Here !/5. Continuous Variables/5. Weight of Evidence for Age in Years.srt 5.9 kB
  • ~Get Your Files Here !/5. Continuous Variables/4. Multicollinearity of Variables.srt 5.9 kB
  • ~Get Your Files Here !/6. Choosing Variables for Machine Learning Algorithm/3. Installing Real Statistics.srt 5.6 kB
  • ~Get Your Files Here !/3. Data Overview/1. Data Overview.srt 5.5 kB
  • ~Get Your Files Here !/4. Preprocessing Data/9. Weight of Evidence- Work Sector and Residence.srt 5.4 kB
  • ~Get Your Files Here !/4. Preprocessing Data/1. Combining Data.srt 5.0 kB
  • ~Get Your Files Here !/4. Preprocessing Data/4. Relationship Status Dummy Variables.srt 4.9 kB
  • ~Get Your Files Here !/4. Preprocessing Data/5. Coding of the Dependent Variable.srt 4.8 kB
  • ~Get Your Files Here !/7. Running the Machine Learning Algorithm/1. Problems with Running Regressions.srt 4.3 kB
  • ~Get Your Files Here !/5. Continuous Variables/1. Continuous Varisbes.srt 4.0 kB
  • ~Get Your Files Here !/5. Continuous Variables/6. Weight of Evidence Maturity.srt 4.0 kB
  • ~Get Your Files Here !/4. Preprocessing Data/7. Weight of Evidence - Rural vs Urban.srt 4.0 kB
  • ~Get Your Files Here !/7. Running the Machine Learning Algorithm/2. Running the Machine Learning Algorithm.srt 3.9 kB
  • ~Get Your Files Here !/5. Continuous Variables/2. .Coding of Variables Age in Years.srt 3.2 kB
  • ~Get Your Files Here !/5. Continuous Variables/3. Coding of variables Maturity of the Loan.srt 3.1 kB
  • ~Get Your Files Here !/6. Choosing Variables for Machine Learning Algorithm/1. Choosing Variables for Machine Learning Algorithm.srt 2.8 kB
  • ~Get Your Files Here !/4. Preprocessing Data/10. Weight of Evidence - Relationship Status.srt 2.4 kB
  • ~Get Your Files Here !/6. Choosing Variables for Machine Learning Algorithm/2. Coding of Grade.srt 2.1 kB
  • ~Get Your Files Here !/Bonus Resources.txt 386 Bytes
  • Get Bonus Downloads Here.url 182 Bytes

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