NLP-MODEL-Classification-text-messange-with-LTSM

SUBMISSION COURSE MACHINE LEARNING DICODING

Used LSTM model to classify spam or ham text messages.This dataset contains 5572 messages that are divided into two categories namely "spam and ham" and has a train accuracy of >90% and validation accuracy >90%. This shows that my model has a good fit with the binary class.

CERTIFICATE BELAJAR PENGEMBANGAN MACHINE LEARNING