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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

Local regression - understanding drought warnings and impact

Drought is a natural hazard which is measured and characterized by lower-than-expected or lower-than-normal rainfall. This condition, when prolonged over a longer-than-normal time period is insufficient to meet the demands of human activities and hazardous to the environment. Drought is a temporary phenomenon. Three main distinguishing features of droughts are intensity, duration, and spatial coverage. A drought early warning system can help to identify the climatic changes, understand water supply trends, and prepare for upcoming emergencies. The drought warning can help decision-makers take appropriate measures to face the upcoming challenge. They can then measure the severity of the impact and understand the underlying causes of vulnerability to reduce risk for a particular location and for a specific group of people or economic sector.

Getting ready

Let's get started with the recipe.

Step 1 - collecting and describing data...

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