Top 100 interview questions on Data Science & Machine Learning

Carvia Tech | September 06, 2019 | 3 min read | 1,101 views

Questions could comprise of coding and theory questions both based on tech skills as : Language: R, Python Skills: Machine Learning, Statistics

Question bank on data science concepts

Machine Learning question bank for experienced

  • Explain this project and your role?

  • What problems you faced while working on A project?

  • How many frames were passed per second in openCV based project?

  • Why did you use regulariser?

  • Have you worked on pyspark, if yes then which one?(RDD or Dataframe)

  • Explain ReLu.

  • When will you use ReLu?

  • Difference between softmax and sigmoid function?

  • How does CNN works?

  • What is max pooling and how does it works?

  • What is recall score?

  • What is precision score?

  • What is F-score?

  • What was the data source used in A project?

  • Why have you mostly worked with keras and why not tensorflow?

  • Do you know data structures?

  • Can you write a custom function for deep learning model?

  • what is the role of loss function and optimiser in a deep learning model?

  • How will you use SVM for multi categorical classification(more than 2 categories?

  • How does strides work in CNN?

  • What are the libraries that you worked with in Python?

  • What are the libraries that you worked with in Python related to NLP?

  • Where have you used pandas in your projects?

  • What is tensor?

  • Define features you would need so as to tell if a person is diabetic or not?

  • Tell a project in which you had to create data from scratch and the problems you faced while working on it.

  • What base model you would suggest for Google’s smart reply?

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Machine Learning

Data science, machine learning, python, R, big data, spark, the Jupyter notebook, and much more

Last updated 1 week ago

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