I am new to data science and trying to figure things out. I have been asked to create a countVectorizer with binary counts of 1-grams and TfidfVecortizer with 1-gram, both avoiding English stop words.
I created a list of custom stopwords using the most frequent words in my dataframe. From what I understand, countTokenizer is used to convert words in the dataframe into their occurrence frequency, but I believe this understanding is not accurate.
I want help with understanding exactly what both of these do and how do I go about achieving the task.