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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

Modelling SP 500

The value of the stocks of the 500 largest corporations by market capitalization listed on the New York Stock Exchange or Nasdaq Composite is measured by the S&P 500. Standard & Poor's provides a quick look at the movement of the stock market and economy on the basis of stock prices. The S&P 500 index is the most popular measure used by the financial media and professionals. The S&P 500 index is calculated by taking the sum of the adjusted market capitalization of all S&P 500 stocks and then dividing it with an index divisor developed by Standard & Poor's. The divisor is adjusted when there are stock splits, special dividends, or spinoffs that could affect the value of the index. The divisor ensures that these non-economic factors do not affect the index.

Getting ready

In order to model the S&P 500 index using neural networks, we shall be using a dataset collected from the GSPC dataset.

Step 1 - collecting and describing data

The dataset...

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