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docs(natural-language-processing): fix audits format

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eslopfer 1 year ago
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  1. 32
      subjects/ai/nlp/audit/README.md

32
subjects/ai/nlp/audit/README.md
unescape_control_characters View File

@ -1,6 +1,6 @@
#### Exercise 0: Environment and libraries
##### The exercise is validated is all questions of the exercise are validated
##### The exercise is validated if all questions of the exercise are validated
##### Activate the virtual environment. If you used `conda` run `conda activate your_env`.
@ -8,7 +8,7 @@
###### Does it print `Python 3.x`? x >= 8
##### Does `import jupyter`, `import pandas`, `import nltk` and `import sklearn` run without any error?
###### Do `import jupyter`, `import pandas`, `import nltk` and `import sklearn` run without any error?
---
@ -16,9 +16,9 @@
#### Exercise 1: Lower case
##### The exercise is validated is all questions of the exercise are validated
##### The exercise is validated if all questions of the exercise are validated
##### The question 1 is validated if the output is:
###### For question 1, is the output the following?
```
0 this is my first nlp exercise
@ -26,7 +26,7 @@
Name: text, dtype: object
```
##### The question 2 is validated if the output is:
###### For question 2, is the output the following?
```
0 THIS IS MY FIRST NLP EXERCISE
@ -40,7 +40,7 @@ Name: text, dtype: object
#### Exercise 2: Punctuation
##### The question 1 is validated if the ouptut doesn't contain punctuation `` !"#$%&'()*+,-./:;<=>?@[]^_`{|}~ ``. Do not take into account the spaces in the output. The output should be as:
###### For question 1, is validated if the ouptut doesn't contain punctuation `` !"#$%&'()*+,-./:;<=>?@[]^_`{|}~ ``. Is the previous statement true? Do not take into account the spaces in the output. The output should be as:
```
Remove this from the sentence
@ -52,9 +52,9 @@ Remove this from the sentence
#### Exercise 3: Tokenization
##### The exercise is validated is all questions of the exercise are validated
##### The exercise is validated if all questions of the exercise are validated
##### The question 1 is validated if the ouptut is:
###### For question 1, is output the following?
```
['Bitcoin is a cryptocurrency invented in 2008 by an unknown person or group of people using the name Satoshi Nakamoto.',
@ -62,7 +62,7 @@ Remove this from the sentence
```
##### The question 2 is validated if the ouptut is:
###### For question 2, is the output the following?
```
['Bitcoin',
@ -110,7 +110,7 @@ Remove this from the sentence
#### Exercise 4: Stop words
##### The question 1 is validated if, using NLTK, the ouptut is:
###### For question 1, is the output the following? (using NLTK)
```
['The', 'goal', 'exercise', 'learn', 'remove', 'stop', 'words', 'NLTK', '.', 'Stop', 'words', 'usually', 'refers', 'common', 'words', 'language', '.']
@ -122,7 +122,7 @@ Remove this from the sentence
#### Exercise 5: Stemming
##### The question 1 is validated if, using NLTK, the output is:
###### For question 1, is the output the following? (using NLTK)
```
['the', 'interview', 'interview', 'the', 'presid', 'in', 'an', 'interview']
@ -134,7 +134,7 @@ Remove this from the sentence
#### Exercise 6: Text preprocessing
##### The question 1 is validated if the output is:
###### For question 1, is the output the following?
```
['01',
@ -181,16 +181,16 @@ Remove this from the sentence
#### Exercise 7: Bag of Word representation
##### The exercice is validated is all questions of the exercice are validated
##### The exercise is validated if all questions of the exercise are validated
##### The question 1 is validated if the output of the CountVectorizer is
###### For question 1, is the output of the CountVectorizer the following?
```
<6588x500 sparse matrix of type '<class 'numpy.int64'>'
with 79709 stored elements in Compressed Sparse Row format>
```
##### The question 2 is validated if the output of `print(df.iloc[:3,400:403].to_markdown())` is:
###### For question 2, is the output of `print(df.iloc[:3,400:403].to_markdown())` the following?
| | talk | team | tell |
|---:|-------:|-------:|-------:|
@ -198,7 +198,7 @@ Remove this from the sentence
| 1 | 0 | 0 | 0 |
| 2 | 0 | 0 | 0 |
##### The question 3 is validated if the shape of the wordcount DataFrame `(6588, 501)` is and if the output of `print(df.iloc[300:304,499:501].to_markdown())` is:
###### For question 3, is the shape of the wordcount DataFrame `(6588, 501)` and the output of `print(df.iloc[300:304,499:501].to_markdown())` the following?
| | youtube | label |
|----:|----------:|--------:|

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