
This page lists down first set of machine learning / data science interview questions and answers for interns / freshers / beginners. If you are an intern or a fresher or a beginner in machine learning field, and, you are looking for some practice tests before appearing for your upcoming machine learning interview, these practice tests would prove to be very useful and handy.
Machine Learning topics covered in Test
In this set, some of the following topics have been covered:
- Machine learning fundamentals (Supervised and unsupervised learning algorithms)
- Different types of machine learning problems and related algorithms with examples
- Concepts related with regression, classification and clustering
Practice Test (Questions and Answers)
How much marks a strudent can get in a competitive exam based on hours of study and other related factors can be solved using _________ regression model
The requirement related with grouping news in different classes can be solved using which of the following?
Whether a person is suffering from a disease can be solved using which of the following?
Linear regression analysis helps in studying __________ relationship between variables.
Classification problem falls under which category?
Logistic regression is used to predict _________ valued output?
Logistic regression algorithm can be termed as which of the following?
Regression analysis helps in doing which of the following?
In _________ regression, there is ________ dependent variable and ________ independent variable(s)
Linear or multilinear regression helps in predicting _______
In _________ regression, there is ________ dependent variable and ________ independent variable(s)
Best fit line for linear regression is also termed as _______
________ regression can be termed as a special case of _________ regression when the outcome variable is categorical
Which of the following can be used to solve both classification and regression (numeric) problem?
K-Means algorithm belongs to which class of problems?
Which of the following is an ensemble technique?
Which of the following can be used for both classification and regression?
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Useful links for Brush-up
Following is the list of some good links for brushing up AI / machine learning / Data Science concepts:
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