Demonstration of how to preprocess text for different use-cases using popular frameworks and libraries such as regex, NLTK, spacy, etc.
Then transforming them into a suitable input to model using machine learning and deep learning models using RNN, LSTM, and combination of different architectures using convolution, neural network, etc.