Machine Learning Pocket Reference Working with Structured Data in Python 1st Edition Matt Harrison

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Product details:

• ISBN-10 ‏ : ‎ 1492047546
• ISBN-13 ‏ : ‎ 978-1492047544
• Author: Matt Harrison

With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project.

Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. Youâ??ll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics.

Table of contents:

1. Introduction

2. Overview of the Machine Learning Process

3. Classification Walkthrough: Titanic Dataset

4. Missing Data

5. Cleaning Data

6. Exploring

7. Preprocess Data

8. Feature Selection

9. Imbalanced Classes

10. Classification

11. Model Selection

12. Metrics and Classification Evaluation

13. Explaining Models

14. Regression

15. Metrics and Regression Evaluation

16. Explaining Regression Models

17. Dimensionality Reduction

18. Clustering

19. Pipelines

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