Book Image

Effective Amazon Machine Learning

By : Alexis Perrier
Book Image

Effective Amazon Machine Learning

By: Alexis Perrier

Overview of this book

Predictive analytics is a complex domain requiring coding skills, an understanding of the mathematical concepts underpinning machine learning algorithms, and the ability to create compelling data visualizations. Following AWS simplifying Machine learning, this book will help you bring predictive analytics projects to fruition in three easy steps: data preparation, model tuning, and model selection. This book will introduce you to the Amazon Machine Learning platform and will implement core data science concepts such as classification, regression, regularization, overfitting, model selection, and evaluation. Furthermore, you will learn to leverage the Amazon Web Service (AWS) ecosystem for extended access to data sources, implement realtime predictions, and run Amazon Machine Learning projects via the command line and the Python SDK. Towards the end of the book, you will also learn how to apply these services to other problems, such as text mining, and to more complex datasets.
Table of Contents (17 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface

Working with datasets


You cannot do predictive analytics without a dataset. Although we are surrounded by data, finding datasets that are adapted to predictive analytics is not always straightforward. In this section, we present some resources that are freely available. We then focus on the dataset we are going to work with for several chapters. The Titanic dataset is a classic introductory datasets for predictive analytics.

Finding open datasets

There is a multitude of dataset repositories available online, from local to global public institutions, from non-profit organizations to data-focused start-ups. Here's a small list of open dataset resources that are well suited for predictive analytics. This, by far, is not an exhaustive list:

Note

This thread on Quora points to many other interesting data sources: https://www.quora.com/Where-can-I-find-large-datasets-open-to-the-public . You can also ask for specific datasets on Reddit at https://www.reddit.com/r/datasets/. 

  • UCI Machine Learning Repository...