Module 10
Natural language processing
Tokenisation with NLTK, regular expressions, bag of words, word2vec, sentiment analysis, Markov chains and a first chatbot.
Outcome
What you will be able to do
You can turn raw text into features and build a working sentiment classifier end to end.
Lessons
Work through these in order
Assessment
Module quiz — 70% to pass
6 questions mixing concept checks and short code-output problems. Graded on the server with per-question explanations afterwards, unlimited retakes, and a badge with a verification code the moment you pass.