July 2018
Beginner
162 pages
3h 25m
English
Chapter 1, Building Your Own Prediction Models, introduces classification and techniques for evaluation, and then explains decision trees, followed by a coding project in which a predictor for student performance is built.
Chapter 2, Prediction with Random Forests, looks at random forests and uses them in a coding project for classifying bird species.
Chapter 3, Applications for Comment Classification, introduces text processing and the bag-of-words technique. Then shows how this technique can be used to build a spam detector for YouTube comments. Next, you will learn about the sophisticated Word2Vec model and practice it with a coding project that detects positive and negative product, restaurant, and movie reviews. ...