Master the art of building analytical models using R About This Book
• Load, wrangle, and analyze your data using the world's most
powerful statistical programming language • Build and customize
publication-quality visualizations of powerful and stunning R graphs
• Develop key skills and techniques with R to create and customize
data mining algorithms • Use R to optimize your trading strategy and
build up your own risk management system • Discover how to build
machine learning algorithms, prepare data, and dig deep into data
prediction techniques with R Who This Book Is For This course is for
data scientist or quantitative analyst who are looking at learning R
and take advantage of its powerful analytical design framework. It's a
seamless journey in becoming a full-stack R developer. What You Will
Learn • Describe and visualize the behavior of data and
relationships between data • Gain a thorough understanding of
statistical reasoning and sampling • Handle missing data gracefully
using multiple imputation • Create diverse types of bar charts using
the default R functions • Familiarize yourself with algorithms
written in R for spatial data mining, text mining, and so on •
Understand relationships between market factors and their impact on
your portfolio • Harness the power of R to build machine learning
algorithms with real-world data science applications • Learn
specialized machine learning techniques for text mining, big data, and
more In Detail The R learning path created for you has five connected
modules, which are a mini-course in their own right. As you complete
each one, you'll have gained key skills and be ready for the material
in the next module! This course begins by looking at the Data Analysis
with R module. This will help you navigate the R environment. You'll
gain a thorough understanding of statistical reasoning and sampling.
Finally, you'll be able to put best practices into effect to make your
job easier and facilitate reproducibility. The second place to explore
is R Graphs, which will help you leverage powerful default R graphics
and utilize advanced graphics systems such as lattice and ggplot2, the
grammar of graphics. You'll learn how to produce, customize, and
publish advanced visualizations using this popular and powerful
framework. With the third module, Learning Data Mining with R, you
will learn how to manipulate data with R using code snippets and be
introduced to mining frequent patterns, association, and correlations
while working with R programs. The Mastering R for Quantitative
Finance module pragmatically introduces both the quantitative finance
concepts and their modeling in R, enabling you to build a tailor-made
trading system on your own. By the end of the module, you will be
well-versed with various financial techniques using R and will be able
to place good bets while making financial decisions. Finally, we'll
look at the Machine Learning with R module. With this module, you'll
discover all the analytical tools you need to gain insights from
complex data and learn how to choose the correct algorithm for your
specific needs. You'll also learn to apply machine learning methods to
deal with common tasks, including classification, prediction,
forecasting, and so on. Style and approach Learn data analysis, data
visualization techniques, data mining, and machine learning all using
R and also learn to build models in quantitative finance using this
powerful language.
Les mer
Produktdetaljer
ISBN
9781786460486
Publisert
2016
Utgave
1. utgave
Utgiver
Vendor
Packt Publishing
Språk
Product language
Engelsk
Format
Product format
Digital bok
Forfatter