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Logistic Regression

  • Q. What is Logistic Regression?
  • Q. What are the assumptions of logistic regression?
  • Q. What are the advantages and disadvantages of logistic regression?
  • Q. What is the error / loss function in logistic regression?
  • Q. How are the coefficients in a logistic expression interpreted?
  • Q. What is the equivalent of the overall F test in logistic regression?
  • Q. Why are coefficients estimated through Maximum Likelihood (MLE) instead of Least Squares?
  • Q. What is the relationship between the log odds ratio and probability?
  • Q. Why are the log odds used in the link function instead of just the regular odds ratio?
  • Q. What problems would arise from using a regular linear regression to model a binary outcome?
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Other Questions in Logistic Regression
  • What is Information Criteria (AIC, BIC)?
  • What are the advantages and disadvantages of a GBM model?
  • What is the difference between Adaboost and Gradient boost?
  • When to use Ridge Regression vs Lasso?
  • What is the difference between QDA and Gaussian Mixture Models (GMM)?
  • Suppose there are a large number of predictors ‘p’. What is the best approach to find out if any of the p predictors are helpful in predicting the response ‘y’? 
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