ML Knowledge

How do you handle imbalanced dataset?

Data Scientist

Asana

Flexport

Booking.com

Qualcomm

Fiverr

Tinder

Did you come across this question in an interview?

  • How do you handle imbalanced dataset?
  • Can you describe the methods used to address the imbalance in a dataset?
  • How would you tackle the issue of class imbalance within a dataset?
  • What techniques would you use to mitigate the effects of an imbalanced dataset?
  • How can you compensate for an imbalanced dataset in your analyses?
  • What approaches do you take when working with a dataset that has imbalanced distributions?
  • How do you rectify the challenges posed by an imbalanced dataset?
  • What measures would you take to balance an imbalanced dataset effectively?
  • How do you ensure that an imbalanced dataset does not skew your model’s performance?
  • What strategies do you employ to manage datasets with imbalanced classes?

Interview question asked to Data Scientists interviewing at Qualcomm, Binance, Asana and others: How do you handle imbalanced dataset?.