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:

- What is Machine Learning? Concepts & Examples
- What is Data Science? Concepts & Examples
- What should I become? Data analyst, Data Scientist or Data Engineer?
- Machine learning course
- Machine learning – Wikipedia

- Gradient Descent in Machine Learning: Python Examples - April 19, 2024
- Loss Function vs Cost Function vs Objective Function: Examples - April 19, 2024
- Model Parallelism vs Data Parallelism: Examples - April 19, 2024

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