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Machine Learning with R Quick Start Guide

You're reading from Machine Learning with R Quick Start Guide A beginner's guide to implementing machine learning techniques from scratch using R 3.5

Product type Paperback

Published in Mar 2019

Publisher Packt

ISBN-13 9781838644338

Length 250 pages

Edition 1st Edition

Languages

R

Tools

RStudio

Concepts

Machine Learning

Author (1):

Iván Pastor Sanz

View More author details

Table of Contents (9) Chapters

Preface

1. R Fundamentals for Machine Learning

2. Predicting Failures of Banks - Data Collection FREE CHAPTER

3. Predicting Failures of Banks - Descriptive Analysis

4. Predicting Failures of Banks - Univariate Analysis

5. Predicting Failures of Banks - Multivariate Analysis

6. Visualizing Economic Problems in the European Union

7. Sovereign Crisis - NLP and Topic Modeling

8. Other Books You May Enjoy

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Predicting sovereign ratings using European country reports

According to the model based on macroeconomic information described in the Predicting country ratings using macroeconomic information section, decision trees can be considered a good alternative approach to predicting sovereign ratings.

Nevertheless, qualitative information represents an important and low transparent part of the rating assignment. In this section, we propose a model using only qualitative information based on the so-called country reports, published by the European Commission.

These reports, mainly published at the end of February, contain an annual analysis of the economic and social challenges for the EU member states.

For example, at the following link, we can download the country reports published in 2018, https://ec.europa.eu/info/publications/2018-european-semester-country-reports_en. For all...

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Authors (1)

Sanz

Sanz

Ivn Pastor Sanz is a lead data scientist and machine learning enthusiast with extensive experience in finance, risk management, and credit risk modeling. Ivn has always endeavored to find solutions to make banking more comprehensible, accessible, and fair. Thus, in his thesis to obtain his PhD in economics, Ivn tried to identify the origins of the 2008 financial crisis and suggest ways to avoid a similar crisis in the future.

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