Why NLP processes human language in ML Python - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to print a simple greeting using NLP.

ML Python

text = "Hello, world!"
print([1])

Drag options to blanks, or click blank then click option'

Aprint(text)

BText

Ctext

Dhello

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'Text' instead of 'text' causes a NameError.

Putting print(text) inside print() prints the greeting followed by 'None'.

The variable 'text' holds the string to print. Using 'text' prints the greeting.

2fill in blank

medium

Complete the code to split a sentence into words using NLP.

ML Python

sentence = "I love learning NLP"
words = sentence.[1](' ')
print(words)

Drag options to blanks, or click blank then click option'

Afind

Bjoin

Creplace

Dsplit

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'join' causes a TypeError because it expects an iterable.

Using 'replace' causes a TypeError because it requires two arguments.

The split(' ') method breaks the sentence into a list of words separated by spaces.

3fill in blank

hard

Fix the error in the code to count word frequency.

ML Python

from collections import Counter
text = "NLP helps computers understand language"
words = text.split()
word_counts = Counter([1])
print(word_counts)

Drag options to blanks, or click blank then click option'

Awords

Btext

CCounter

Dsplit

Attempts:

3 left

💡 Hint

Common Mistakes

Passing 'text' counts characters, not words.

Passing 'Counter' or 'split' counts characters, not words.

The Counter needs a list of words, so we pass 'words', not the original text string.

4fill in blank

hard

Fill both blanks to create a dictionary of word lengths for words longer than 3 letters.

ML Python

words = ['chat', 'ai', 'language', 'data']
lengths = {word: [1] for word in words if len(word) [2] 3}
print(lengths)

Drag options to blanks, or click blank then click option'

Alen(word)

B<

C>

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<' filters shorter words, not longer.

Using 'word' instead of len(word) gives wrong values.

We use len(word) to get length and '>' to filter words longer than 3 letters.

5fill in blank

hard

Fill all three blanks to create a dictionary of uppercase words and their lengths for words shorter than 6 letters.

ML Python

words = ['hello', 'world', 'python', 'ai']
result = { [1]: [2] for w in words if len(w) [3] 6 }
print(result)

Drag options to blanks, or click blank then click option'

Aw.upper()

Blen(w)

C<

Dw

Attempts:

3 left

💡 Hint

Common Mistakes

Using '>' filters longer words, not shorter.

Using 'w' as key does not convert to uppercase.

We use w.upper() as key, len(w) as value, and filter words with length less than 6.