Label encoding in ML Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the LabelEncoder class from sklearn.

ML Python

from sklearn.preprocessing import [1]

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ALabelEncoder

BOneHotEncoder

CStandardScaler

DMinMaxScaler

Attempts:

3 left

💡 Hint

Common Mistakes

Importing a scaler class instead of LabelEncoder.

Using OneHotEncoder which is for a different encoding.

LabelEncoder is the class used to convert categorical labels into numeric form.

2fill in blank

medium

Complete the code to create a LabelEncoder object named 'le'.

ML Python

le = [1]()

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AStandardScaler

BOneHotEncoder

CMinMaxScaler

DLabelEncoder

Attempts:

3 left

💡 Hint

Common Mistakes

Creating an instance of a scaler instead of LabelEncoder.

Using OneHotEncoder which is not for label encoding.

LabelEncoder() creates an instance to encode labels.

3fill in blank

hard

Fix the error in the code to fit and transform the labels list using LabelEncoder.

ML Python

labels = ['cat', 'dog', 'cat', 'bird']
encoded = le.[1](labels)

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Afit_transform

Btransform

Cfit

Dencode

Attempts:

3 left

💡 Hint

Common Mistakes

Using only fit which does not transform the data.

Using transform before fitting causes an error.

Using a non-existent method 'encode'.

fit_transform fits the encoder and transforms the labels in one step.

4fill in blank

hard

Fill both blanks to create a dictionary mapping original labels to encoded values.

ML Python

mapping = {label: encoded[1] for [2], label in enumerate(labels)}

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A[]

B()

C{}

D.

Attempts:

3 left

💡 Hint

Common Mistakes

Using dot notation to index a list.

Using curly braces instead of parentheses for unpacking.

Use square brackets to index the encoded list and parentheses to unpack enumerate.

5fill in blank

hard

Fill all three blanks to inverse transform encoded labels back to original labels.

ML Python

original = le.[1]([encoded[2]])
print(list([3]))

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Ainverse_transform

B[0]

Coriginal

D(0)

Attempts:

3 left

💡 Hint

Common Mistakes

Using transform instead of inverse_transform.

Using parentheses instead of square brackets for indexing.

Printing the wrong variable.

inverse_transform converts encoded labels back; use [0] to get first element if needed; print the original list.