case example 4 – N-gram and complex pipline Add complex features, e.g. scaling: HashingVectorizer, N-gram, SelectKBest, SparseInteractions, MaxAbsScaler, OneVsRestClassifier case, project, studydata cleasing, jupyter notebook, machine learning, Pandas, text mining Posted on January 17, 2017
case example 3 – building Pipeline building a Pipline for Text mining, preprocessing and model training & prediction case, fun, projectdata cleasing, jupyter notebook, machine learning, text mining Posted on January 17, 2017
case example 2 – model exploration and NLP CountVectorizer() in sklearn, Tokenizes all the strings, Bag-of-words case, projectdata cleasing, jupyter notebook, machine learning, text mining Posted on January 17, 2017