Machine Learning Quiz

Welcome to our Machine Learning quiz! Machine Learning is a subset of Artificial Intelligence that involves training algorithms to make predictions or decisions based on data. It’s being used in a wide range of applications, from image recognition to fraud detection. Whether you’re a developer, data scientist, or just interested in the field, this quiz will challenge your knowledge of Machine Learning concepts, techniques, and applications. With a mix of multiple choice and scenario-based questions, you’ll be tested on topics like supervised and unsupervised learning, neural networks, deep learning, and more. So, let’s get started and see how well you know Machine Learning!


Machine Learning Quiz

Test your knowledge of Machine Learning concepts, techniques, and applications with our interactive quiz!

1 / 30

Which technology can work with both structured and unstructured data types?

2 / 30

A Machine learning model takes less time to train a model

3 / 30

Which is the last step in the machine learning life cycle?

4 / 30

What is the process called in which data is cleaned and converted into a usable format?

5 / 30

_______ provides a table as output and presents the performance of the model.

6 / 30

What is y in the Binary classification equation below? ?(ylog(p)+(1?y)log(1?p))

7 / 30

How many types of learners are there in classification problems?

8 / 30

The algorithm which implements the classification on a dataset is known as a

9 / 30

Ridge Regression is also called as

10 / 30

Which regression is used for predictive analysis?

11 / 30

______ is an observation that either contains a very small value or a very high value.

12 / 30

Which library is used for plotting any type of chart in python?

13 / 30

How can we import NumPy?

14 / 30

What is the full form of CSV?

15 / 30

Which form of data denotes the nominal variable in an ordered list?

16 / 30

What is called the initial set of the parameter before the data begins learning?

17 / 30

What is the first step while splitting the data in ML?

18 / 30

What is the most important part of ML?

19 / 30

The data that is processed in machine learning is

20 / 30

Which is the first step in the machine learning model?

21 / 30

Virtual assitants use

22 / 30

Which learning is used to analyze emails and respond to most important message first?

23 / 30

Robotics come under which machine learning

24 / 30

Semi-supervised learning is used in

25 / 30

Which of the following split the data set into groups based on simarility

26 / 30

Which model combines the predictions to produce an accurate prediction?

27 / 30

Supervised machine learning is not good at

28 / 30

In supervised learning, scientist use

29 / 30

How many types of Machine learning are there?

30 / 30

Machine Learning uses ____ data as input.


  • Barry Allen

    A Full Stack Developer with 10+ years of experience in different domain including SAP, Blockchain, AI and Web Development.

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