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Practical Machine Learning Cookbook

You're reading from   Practical Machine Learning Cookbook Supervised and unsupervised machine learning simplified

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781785280511
Length 570 pages
Edition 1st Edition
Languages
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Author (1):
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Atul Tripathi Atul Tripathi
Author Profile Icon Atul Tripathi
Atul Tripathi
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Toc

Table of Contents (15) Chapters Close

Preface 1. Introduction to Machine Learning FREE CHAPTER 2. Classification 3. Clustering 4. Model Selection and Regularization 5. Nonlinearity 6. Supervised Learning 7. Unsupervised Learning 8. Reinforcement Learning 9. Structured Prediction 10. Neural Networks 11. Deep Learning 12. Case Study - Exploring World Bank Data 13. Case Study - Pricing Reinsurance Contracts 14. Case Study - Forecast of Electricity Consumption

Dimension reduction methods - Delta's Aircraft Fleet

Fleet planning is a part of the strategic planning process for any airline company. Fleet is the total number of aircraft that an airline operates, as well as the specific aircraft types that comprise the total fleet. Airline selection criteria for aircraft acquisition are based on technical/performance characteristics, economic and financial impact, environmental regulations and constraints, marketing considerations, and political realities. Fleet composition is a critical long-term strategic decision for an airline company. Each aircraft type has different technical performance characteristics, for example, the capacity to carry the payload over a maximum flight distance or range. It affects financial position, operating costs, and especially the ability to serve specific routes.

Getting ready

In order to perform dimension reduction we shall be using a dataset collected on Delta Airlines Aircraft Fleet.

Step 1 - collecting and describing...

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