I have a dataset which has classified some tweets according to 5 classes need to use bag of words and tf idf to come up with a solution using different classification models such as bayes naves and support vectors and then the code should also display the classification accuracy using different pre processing methods and classification methods. Use bag of words with bayes naves and support vectors and then use tf idf with bag of words and bayes naves.
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Hi, I have read the description and I can help you develop a classification model that classifies any tweet according to 1 - 5 Classifications using Python. I have 7+ years of experience in Python, ML, Data Science a Daha Fazla
HI I am experienced in Python Tensorflow Read our guide etc I can start right now but i have few doubts and questions lets have a quick chat and get it started waiting for your reply
Hey there! I have 3 years of experience in python, ML can help you with it. I have dones tweets classification with naive bayes and tfidf and count vectroizer, understand exactly what you want to achive. Please message Daha Fazla