ML QUIZ

ML QUIZ

University

5 Qs

quiz-placeholder

Similar activities

Natural Language Processing Quiz-1

Natural Language Processing Quiz-1

University

9 Qs

Minería de Datos

Minería de Datos

University

10 Qs

TUTORIAL 5-PUMP

TUTORIAL 5-PUMP

University

10 Qs

Exploring the 8086 Microprocessor

Exploring the 8086 Microprocessor

University

10 Qs

Introduction to AI

Introduction to AI

University

10 Qs

Unit 2: Microcontrollers

Unit 2: Microcontrollers

University

10 Qs

Quality Management Quiz 10

Quality Management Quiz 10

University

10 Qs

MSS Machine Learning

MSS Machine Learning

University

10 Qs

ML QUIZ

ML QUIZ

Assessment

Quiz

Engineering

University

Medium

Created by

Lata Upadhye

Used 5+ times

FREE Resource

5 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Identify the Problem:

We have Information of all previous general elections with respect to party, votes, Candidates, Locality, Issues in nation, etc. With All this information we need to find the winner of next general election.

Classification

Regression

Clustering

none of them

Classification

Regression

Clustering

none of them

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Identify the problem:

We have information of all houses in a particular area like size, type and design of house, locality, colour, previous purchase etc. on the basis of these data we have to find the price of a particular house.

Classification

Regression

Clustering

Prbabilistic

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Identify a problem:

You have details of corona affected positive cases found in various regions. Depending upon parameters like number of increasing corona infected patients, weather conditions etc. regions are classified into red zone, Green zone and Orange Zone. On the basis of these data we have to predict the region of a city.

classification

regression

clustering

unsupervised learning

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

_______________________ is a category of an algorithm that allows software applications to become more accurate in predicting outcomes without being explicitly programmed.

Artificial Intelligence

Machine Learning

Deep Learning


Traditional Learning

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

supervised learning algorithm deals with..

labelled and unlabelled data

unlabelled data

labelled data

None