chore(nlp): run prettier

2 months ago · ab205d6bfa
1 changed files with 9 additions and 9 deletions
--- a/subjects/ai/nlp/README.md
+++ b/subjects/ai/nlp/README.md
@ -209,15 +209,15 @@ Steps:
 4. Using the word counter, show the 15 most used tokenized words in the datasets' tweets

 5. Add to your `count_vecotrized_df` a `label` column considering the following:
+
   - 1: Positive
   - 0: Neutral
   - -1: Negative

   The final DataFrame should be similar to the below:

-
 |     | ... | label |
-|---:|-------:|--------:|
+| --: | --: | ----: |
 |   0 | ... |     1 |
 |   1 | ... |    -1 |
 |   2 | ... |    -1 |