
Machine Learning Basics 0017
Quiz
•
Science
•
University
•
Practice Problem
•
Hard
SACHIN SHARMA
Used 3+ times
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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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