Machine Learning Basics 0017

Machine Learning Basics 0017

Assessment

Quiz

Created by

SACHIN SHARMA

Science

University

3 plays

Hard

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15 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

1.           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 CHOICE QUESTION

30 sec • 1 pt

Which of the following is correct way to create a dataframe?

A. df = pd.dataframe(dict1)

B.df = pd.Dataframe(dict1)

C.df = pd.dataFrame(dict1)

D.df = pd.DataFrame(dict1)

A

B

C

D

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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

Regression

Classification

Clustering

All of the above

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Machine learning is a subset of which of the following

Deep Learning

Data Learning

Artificial Intelligence

None of the above

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

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

Big data computing

Data Mining

Artificial Intelligence

Internet of Things

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the options contain the following lines?

1.           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

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

If there is a dataframe named as "df" and we need to extract the first three rows and three columns of it, then which of the following statement is correct?

A. df.iloc[1:4,1:4]

B. df.iloc[1:3,1:3]

C df.iloc[0:2,0:2]

D.df.iloc[0:3,0:3]

A

B

C

D

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