[Solved] You have training data with repeated labels:data = ['apple', 'banana', 'apple', 'banana', 'banana']How can you create a dictionary showing the frequency of each label using dictionary comprehension? | AI for Everyone

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You have training data with repeated labels:

data = ['apple', 'banana', 'apple', 'banana', 'banana']

How can you create a dictionary showing the frequency of each label using dictionary comprehension?

A{label: data.count(label) for label in set(data)}

B{label: data.index(label) for label in data}

C{label: 1 for label in data}

D{label: len(data) for label in set(data)}

Step-by-Step Solution

Solution:

Step 1: Understand dictionary comprehension for counting
Use set(data) to get unique labels, then count each label's occurrences.
Step 2: Check each option
{label: data.count(label) for label in set(data)} correctly counts frequency; others do not count properly.
Final Answer:
{label: data.count(label) for label in set(data)} -> Option A
Quick Check:
Use set and count for frequency dict [OK]

Quick Trick: Use set and count inside dict comprehension [OK]

Common Mistakes:

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