Python for Deep Learning - Build Neural Networks in Python - Label Encoding Using Scikit-Learn
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Information Technology (IT), Architecture
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University
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Practice Problem
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Hard
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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of encoding categorical data in machine learning?
To make data more readable
To convert data into a format suitable for algorithms
To increase data storage
To enhance data security
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In label encoding, what numerical value is typically assigned to the label 'female'?
2
3
1
0
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which library is highlighted for its robust tools in machine learning, including encoding?
TensorFlow
Sklearn
Pandas
NumPy
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What function is used in Sklearn's label encoder to transform string values to numerical values?
map_values
transform_fit
encode_values
fit_transform
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does one-hot encoding differ from label encoding?
It is used only for numerical data
It represents each label with an array of integers
It uses a single integer for each label
It is less efficient than label encoding
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