Python Machine Learning By Example – Second Edition

Python Machine Learning By Example – Second Edition begins with an introduction to important ML concepts and implementations using Python libraries. Each chapter of the book walks you through an industry adopted application. (Limited-time offer)

Table of Contents

• Section 1: Fundamentals of Machine Learning
• Getting Started with Machine Learning and Python
• Section 2: Practical Python Machine Learning By Example
• 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 Newsgroup Topics with Support Vector Machines
• Predicting Online Ad Click-Through with Tree-Based Algorithms
• Predicting Online Ad Click-Through with Logistic Regression
• Scaling Up Prediction to Terabyte Click Logs
• Stock Price Prediction with Regression Algorithms
• Section 3: Python Machine Learning Best Practices
• Machine Learning Best Practices

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