Beginner Quiz on ML and Python Basics

Beginner Quiz on ML and Python Basics

University

20 Qs

quiz-placeholder

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Beginner Quiz on ML and Python Basics

Beginner Quiz on ML and Python Basics

Assessment

Quiz

Computers

University

Hard

Created by

medha rao

Used 9+ times

FREE Resource

20 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 10 pts

How do you handle missing or corrupted data in a dataset?

Drop missing rows or columns

Replace missing values with Mean/Median/

Mode

Assign a unique category to missing values

All of the above

2.

MULTIPLE SELECT QUESTION

45 sec • 20 pts

Which of the options contain the following lines?

import pandas as pd

df = pd.read_csv("filename.csv")

df.head()

Loading a dataset into python environment

See the first five rows of a data frame in Python

Checking the class of each variable in a pandas DataFrame

Code to see the dimensions of a data frame in Python

Function used to find missing values in a pandas DataFrame

3.

MULTIPLE SELECT QUESTION

45 sec • 20 pts

Check/Click all which uses Machine Learning below

Prediction

Image Recognition

Facial Recognition

Feeding the newborn

4.

MULTIPLE CHOICE QUESTION

30 sec • 10 pts

What is the application of machine learning methods to a large database called?

Big data computing

Data Mining

Artificial Intelligence

Internet of Things

5.

MULTIPLE CHOICE QUESTION

30 sec • 10 pts

Machine learning is a subset of which of the following

Deep Learning

Data Learning

Artificial Intelligence

None of the above

6.

MULTIPLE CHOICE QUESTION

30 sec • 10 pts

Which of the following are common classes of problems in machine learning?

Regression

Classification

Clustering

All of the above

7.

MULTIPLE CHOICE QUESTION

30 sec • 20 pts

Which of the following machine learning techniques helps in detecting the outliers in data?

Anomaly detection

Classification

Clustering

All of the above

Answer explanation

The machine learning algorithm which helps in detecting the outliers is known as anomaly detection.

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