The project contains:
DataCleaner.ipynb
(cleans spam.csv data)LogisticRegression.ipynb
(lr implementation of sentiment analysis)RNN.ipynb
(RNN implementation of sentiment analysis)
Two alghoritms gives pretty much the same result of ~97% accuracy for SMS spam dataset