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I will ace your data science and machine learning interviews


I will ace your data science and machine learning interviews

Data science and machine learning interviews are an integral part of the data science interview and the path to becoming a data scientist, machine learning engineer, or data engineer. There are many resources available online that can help you prepare for these interviews.

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Here are some resources that can help you prepare for data science and machine learning interviews:

Springboard has created a free guide to data science interviews, where they have compiled 51 essential machine learning interview questions and answers 1.

Analytics Vidhya has created a comprehensive guide to data science and machine learning interviews which includes 40 plausible & tricky questions which are likely to come across your way in interviews 2.

Machine Learning Interviews is a website that provides tools to crack your data science interviews 3.

Here are some common data science and machine learning interview questions:

  • What are the essential skills and attributes that a data scientist needs1
  • Do you have experience working on a data science project with an extensive programming component1
  • How do you explain technical aspects of your results to colleagues with a nontechnical background1
  • What’s your greatest achievement as a data scientist1
  • How do you handle a data set missing several variables1
  • What is data normalization and why do we need it2

Here are some common machine learning interview questions:
  • Describe/differentiate between the terms: machine learning, artificial intelligence, and deep learning 1
  • How are bias and variance related1
  • How are Type I and Type II errors different1
  • Can you describe what “overfitting” is1
  • How do you handle missing or corrupted data in a data set2
Here are some common behavioral questions in a data science interview:
  • What is your experience with data analysis?
  • What is your experience with statistical modeling?
  • What is your experience with programming languages such as Python or R?
  • What is your experience with SQL?
  • What is your experience with data visualization tools such as Tableau or Power BI?
Here are some tips on how to answer behavioral questions in a data science interview:
  • Be specific about your experience and skills.
  • Use examples from your past work experience to illustrate your answers.
  • Be honest about your strengths and weaknesses.
  • Be confident in your answers and show enthusiasm for the job.
Starter : $100
Essential interview tips plus feedback on a 15-minute mock interview

Enhanced : $155
Extended consult, tailored insights, and coaching on two mock interviews

Elite : $250
In-person prep (if possible), 3-hour consult, feedback on three mock interviews

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