Import wikipediaapi to access its articles, the Wikipedia articles will be your dataset.

Implement the MinHashing algorithm on two articles from the dataset. Print the output.

You may need to apply preprocessing to the articles.

The libraries you may need; wikipediaapi $($for wikipedia$-$api$)$ Datasketch $($for min$-$

hashing$),$ NLTK $($to tokenized the text, and create n$-$grams aka n$-$shingles$)$

Note: Hash functions $($like those used in MinHash algorithms$)$ operate on bytes, not

on characters. Therefore, when you want to hash a string $($like a shingle, which is a

substring or a sequence of tokens from the original text$),$ you first need to convert it to

a byte representation. Encoding the string as UTF$-8$ is a common way to achieve this.

$.$encode$(\text{'}$utf$8\text{'})$ Method: This method is called on a string object to perform the en$-$

coding. It returns a byte array which can then be passed to hash functions or used in

any context where binary data is required.

Once you complete the program, try different values for $n$ and print the output.