This page lists down first set of **machine learning 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)

#### 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 _______

#### 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?

### Useful links for Brush-up

Following is the list of some good links for brushing up machine learning concepts:

### Ajitesh Kumar

Ajitesh has been recently working in the area of AI and machine learning. Currently, his research area includes Safe & Quality AI. In addition, he is also passionate about various different technologies including programming languages such as Java/JEE, Javascript and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data etc.

He has also authored the book, Building Web Apps with Spring 5 and Angular.

He has also authored the book, Building Web Apps with Spring 5 and Angular.

#### Latest posts by Ajitesh Kumar (see all)

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