Course Content
Data Preprocessing
Data Preprocessing
Challenge 2
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So, now let's remember what we do with text data. You will be working with the 'reviews.csv'
dataset, and your task will be to encode text data using the bag of words method.
- Create a
CountVectorizer
object to tokenize text - Fit data to the tokenizer
- Print the vocabulary of the tokenizer
- Encode
'Text'
column - Print the results
Thanks for your feedback!
Challenge 2
Swipe to show code editor
So, now let's remember what we do with text data. You will be working with the 'reviews.csv'
dataset, and your task will be to encode text data using the bag of words method.
- Create a
CountVectorizer
object to tokenize text - Fit data to the tokenizer
- Print the vocabulary of the tokenizer
- Encode
'Text'
column - Print the results
Thanks for your feedback!
Challenge 2
Swipe to show code editor
So, now let's remember what we do with text data. You will be working with the 'reviews.csv'
dataset, and your task will be to encode text data using the bag of words method.
- Create a
CountVectorizer
object to tokenize text - Fit data to the tokenizer
- Print the vocabulary of the tokenizer
- Encode
'Text'
column - Print the results
Thanks for your feedback!
Swipe to show code editor
So, now let's remember what we do with text data. You will be working with the 'reviews.csv'
dataset, and your task will be to encode text data using the bag of words method.
- Create a
CountVectorizer
object to tokenize text - Fit data to the tokenizer
- Print the vocabulary of the tokenizer
- Encode
'Text'
column - Print the results