Table of Contents

Getting Started with Machine Learning and Python

Exploring the 20 Newsgroups Dataset with Text Analysis Techniques

Mining the 20 Newsgroups Dataset with Clustering and Topic Modeling Algorithms

Detecting Spam Email with Naive Bayes

Classifying News Topic with Support Vector Machine

Predicting Online Ads Click-through with Tree-Based Algorithms

Predicting Online Ads Click-through with Logistic Regression

Scaling Up Prediction to Terabyte Click Logs

Stock Price Prediction with Regression Algorithms

Machine Learning Best Practices

About the Author

Yuxi (Hayden) Liu is an author of a series of machine learning books and an education enthusiast. His first book, the first edition of Python Machine Learning By Example, was a #1 bestseller in Amazon India in 2017 and 2018. His other books include R Deep Learning Projects and Hands-On Deep Learning Architectures with Python published by Packt. He is an experienced data scientist who's focused on developing machine learning and deep learning models and systems. He has worked in a variety of data-driven domains and has applied his machine learning expertise to computational advertising, recommendation, and network anomaly detection. He published five first-authored IEEE transaction and conference papers during his master's research at the University of Toronto.