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.
- Access 19 lectures & 2 hours of content 24/7
- Build a spam detector & sentiment analysis model that may be used to predict the stock market
- Learn practical tools & techniques like the natural language toolkit library & latent semantic analysis
- Create an article spinner from scratch that can be used as an SEO tool
For more info and to access see: Machine Learning and AI