Machine Learning with Python for Everyone (Addison Wesley Data & Analytics Series) 1st Edition, (Ebook PDF) – Digital Instant Dowload.

Product details:

• ISBN-10 ‏ : ‎ 0134845625
• ISBN-13 ‏ : ‎ 978-0134845623
• Author: Mark Fenner

Machine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you’re an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal instructor Mark E. Fenner relies on plain-English stories, pictures, and Python examples to communicate the ideas of machine learning.

Table contents:

Part I: First Steps

Chapter 1: Let’s Discuss Learning

Chapter 2: Some Technical Background

Chapter 3: Predicting Categories: Getting Started with Classification

Chapter 4: Predicting Numerical Values: Getting Started with Regression

Part II: Evaluation

Chapter 5: Evaluating and Comparing Learners

Chapter 6: Evaluating Classifiers

Chapter 7: Evaluating Regressors

Part III: More Methods and Fundamentals

Chapter 8: More Classification Methods

Chapter 9: More Regression Methods

Chapter 10: Manual Feature Engineering: Manipulating Data for Fun and Profit

Chapter 11: Tuning Hyperparameters and Pipelines

Part IV: Adding Complexity

Chapter 12: Combining Learners

Chapter 13: Models That Engineer Features for Us

Chapter 14: Feature Engineering for Domains: Domain-Specific Learning

Chapter 15: Connections, Extensions, and Further Directions