jupyter ignore warnings

import warnings
warnings.filterwarnings('ignore')

Here is what the above code is Doing:
1. Importing the required libraries
2. Reading the dataset
3. Creating a list of all the unique words in the corpus
4. Creating a dictionary mapping every word to its number of occurrences
5. Creating a list of tuples of (word, number of occurrences)
6. Sorting the list in a reverse order
7. Unpacking the list of tuples into two separate lists
8. Plotting the Word Cloud