By this Data Science Interview Questions and answers, many students are got placed in many reputed companies with high package salaries. So utilize our Data Science Interview Questions and answers to grow in your career.
Data Science Interview Questions with Answers listed here by our experts will give you a perfect guide to get through the interviews, online tests, certifications, and corporate exams. To get in-depth knowledge and frequently posted queries of the Data Science topic, just have a glance at the below questionnaire as it will really help both freshers and experienced candidates.
In this Data Science Interview Questions and answers are prepared by 10+ years of experienced industry experts. Data Science Interview Questions and answers are very useful to the Fresher or Experienced person who is looking for a new challenging job from the reputed company.
Frequently Asked Data Science Interview Questions And Answers
By this Data Science Interview Questions and answers, many students are got placed in many reputed companies with high package salaries. So utilize our Data Science Interview Questions and answers to grow in your career.
Q51. What is histogram?
Q52. What are the common measures of central tendancies?
- Mean
- Median
- Mode
Q53. What are the commonly used error metrics for classification tasks?
- F1 score
- Accuracy
- Sensitivity
- Specificity
- Recall
- Precision
Q54. What are residuals in a regression task?
The difference between the predicted value and the actual value is called the residual.
Q55. What are the main classifications in Machine learning?
- Answer: Supervised learning
- Unsupervised learning
- Reinforcement learning
Q56. What are the main types of supervised learning tasks?
Q57. Can Random forest be used for classification and regression?
Yes, it can be used
Give a simple representation for Linear Equation.
Ans : Y = mx + c ;
where y is the dependant variable; c is the independant variable;m is slope
Q58. What is R square value?
R squared values tells us how close the regression line is fit to the actual values.
Q59. What are some common ways of imputation?
- Mean imputation,
- median imputation,
- KNN imputation,
- Stochastic regression,
- substitution
Q60. What is the difference between series and list?
list is size and data mutable
series is data mutable but not size mutable
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