NLP_Fundamentals Public Forked from kywertheim/NLP_Fundamentals

These notebooks introduce the fundamentals of natural language processing, including text preprocessing techniques, logistic regression, Naive Bayes classification, word vectors (embeddings), principal component analysis, the bag-of-words model, the k-nearest neighbours algorithm, and locality-sensitive hashing.