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How would you choose between Lasso and Ridge regression for a particular problem?

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Did you come across this question in an interview?

  • How would you choose between Lasso and Ridge regression for a particular problem?
  • When faced with a regression problem, how do you decide whether to apply the LASSO or Ridge regularization technique?
  • What are some key factors you consider when choosing between Lasso and Ridge regression?
  • Would you mind walking me through how you choose between Lasso and Ridge regression models for a particular problem?
  • How would you approach selecting between Ridge and Lasso regression when presented with a regression problem?
  • In what circumstances would you apply Ridge or Lasso regression, and how would you determine which to use?
  • When deciding between Lasso and Ridge regression models, what factors do you take into consideration?
  • Can you explain the difference between Lasso and Ridge regularization, and how do you determine which to apply in a given situation?
  • Could you discuss the criteria you use when choosing between Ridge and Lasso regression for a specific problem?
  • What are some practical considerations you take into account when selecting between Lasso and Ridge regression models?
  • Can you discuss the main differences between Lasso and Ridge regression models, and how would you select which one to use for a given problem?

Interview question asked to Data Scientists interviewing at Segment, Coupang, Swiggy and others: How would you choose between Lasso and Ridge regression for a particular problem?.