aws-machine-learning-university-accelerated-nlp

Why we included this project

Machine Learning University's accelerated NLP class ships its whole teaching package in this repo: lecture slides, Jupyter notebooks, and the datasets those notebooks run against. The lessons build in sequence rather than hopping between isolated tricks. Lecture one covers text processing and bag-of-words, lecture two moves to tree-based and regression models, and lecture three reaches neural networks, word embeddings, and recurrent networks, each closing with a hands-on final project on a realistic dataset. If you are self-teaching NLP, running an internal ML onboarding course, or preparing interview material, the labs run in AWS Studio Lab or a local environment with little setup. The material leans on classical machine learning and foundational deep learning rather than today's transformer stack, which makes it a good way to learn the mechanics beneath modern NLP instead of a cutting-edge toolkit.