Data science Interview questions

Question

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.

Answer 1

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.

Answer 2

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?

Answer 3

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