logistic-regression

  1. David Harper CFA FRM

    P1.T2.23.6. Logistic regression (2nd set)

    Learning objectives: Explain the role of linear regression and logistic regression in prediction. Understand how to encode categorical variables. Questions: 23.6.1. Darlene is a risk analyst who evaluates the creditworthiness of loan applicants at her financial institution. Her department is...
  2. Nicole Seaman

    P1.T2.23.5. Logistic regression

    Learning objectives: Explain the role of linear regression and logistic regression in prediction. Understand how to encode categorical variables. Questions: 23.5.1. Clara fits a logistic regression model to her training data that predicts whether a financial transaction is fraudulent. Binary...
  3. Nicole Seaman

    P2.T6.705. Logistic regression and principal component analysis (PCA, De Laurentis)

    Learning objectives: Describe the application of a logistic regression model to estimate default probability. Define and interpret cluster analysis and principal component analysis. Questions: 705.1. Logistic regression is often used to predict whether a loan will default. For example, the...
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