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Explain the steps you typically take for data wrangling and cleaning prior to applying machine learning algorithms?

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Behavioral
  • Explain the steps you typically take for data wrangling and cleaning prior to applying machine learning algorithms?
  • How do you ensure data cleanliness before feeding it into a machine learning model?
  • What are the typical steps you follow when wrangling and cleaning data for machine learning applications?
  • Could you describe the process you go through to ensure high-quality data for machine learning models?
  • How do you approach cleaning and restructuring data to optimize its use in machine learning?
  • Please explain the steps you take to turn raw data into something that a machine learning algorithm can interpret.
  • What are some of the prerequisites for clean data when it comes to machine learning, and how do you ensure they are all met?
  • Before applying machine learning algorithms, what are some of the things you have to do in terms of data wrangling and cleaning?
  • How do you ensure that the data you are feeding into machine learning algorithms is representative and unbiased?
  • Could you walk me through the typical workflow you follow when cleaning and preparing data for use in machine learning models?
  • Can you walk me through the process you take to prepare data for machine learning algorithms?

Interview question asked to Data Scientists interviewing at New Relic, Microsoft, Thumbtack and others: Explain the steps you typically take for data wrangling and cleaning prior to applying machine learning algorithms?.