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uh good morning my YouTube viewers it is Crystal here Im just here because I want to let you know that I have made another blog post the title of the blog post is how I use SK loans multi-label by Professor to solve a classification to solve a paper classification problem now this is natural language processing problem and so I had to use SK loans natural language processing facilities like tfidf factorizer I also the label had 60 columns to it so I also had to use multi-label binarizer to one hot encode label and in addition to that the summary uh had needed to be cleaned up a lot because it had brackets in it it had um quotation marks in it had spaces in it and that had to be cleaned up and then I also had to convert it to a list because in order to convert it to a list I had to um do that to make sure that each classification went into the correct column of data and you had um you could have two or three classifications and one column in the original training set and that had to b
