In this course you will build MULTIPLE practical systems using natural language processing, or NLP - the branch of machine learning and data science that deals with text and speech. This course is not part of my deep learning series, so it doesn't contain any hard math - just straight up coding in Python. All the materials for this course are FREE. After a brief discussion about what NLP is and what it can do, we will begin building very useful stuff. The first thing we'll build is a spam detector.

Easy Natural Language Processing (NLP) in Python – Over this course you will build multiple practical systems using natural language processing (NLP), the branch of machine learning and data science that deals with text and speech. You'll start with a background on NLP before diving in, building a spam detector and a model for sentiment analysis in Python. Learning how to build these practical tools will give you an excellent window into the mechanisms that drive machine learning. Unsupervised Machine Learning Hidden Markov Models in Python – Data, in many forms, is presented in sequences: stock prices, language, credit scoring, etc. Being able to analyze them, therefore, is of invaluable importance. In this course you'll learn a machine learning algorithm – the Hidden Markov Model – to model sequences effectively.