Data science Interview questions

+1 vote
I'm attending an interview for a data science post and I would like to know a few frequently asked interview questions. Any help would be appreciated, thank you.
Nov 8, 2018 in Career Counselling by Ali
• 11,270 points

recategorized Nov 8, 2018 by Ali 229 views

3 answers to this question.

+1 vote

I've attended a few interviews for this very post and the few question that was asked in all of these interviews.

1. What are feature vectors?

A feature vector is an n-dimensional vector of numerical features that represent some object. In machine learning, feature vectors are used to represent numeric or symbolic characteristics, called features, of an object in a mathematical, easily analyzable way.

2. Steps in making decision tree

  • take the entire data set as input
  • analyze the split that maximizes the separation of classes
  • Apply the split to the input data
  • Re-apply steps 1 to 2 to the divided data.
  • Stop when you meet some stopping criteria.
  • This step is called pruning. Clean up the tree if you went too far doing splits.
answered Nov 8, 2018 by Maverick
• 10,820 points
+1 vote
Learn something along these lines:

What is Data Science? Also, list the differences between supervised and unsupervised learning.

Python

What is Selection Bias?

What do you understand by the term Normal Distribution?
answered Jan 28, 2019 by Darton
+1 vote
The interview question for Data Science is usually unpredictable as they generally ask about the project you work on . Apart from this there are some question which i mention below ,which are asked frequently in the Data Science interview:

1. What is the difference between Data Science and Data Analyst?

2. Which one you prefer between Python and R and why?

3. what do you understand by logistic regression?

4.Do you think Data Science has a bright future?? support your answer?

5.Give an real life application of Data Science
answered Mar 4, 2019 by MrBoot
• 1,270 points

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