(Ebook) R Data Mining Blueprints 1st edition by Pradeepta Mishra 1783989688 9781783989683

(Ebook) R Data Mining Blueprints 1st edition by Pradeepta Mishra 1783989688 9781783989683

R Data Mining Blueprints 1st edition by Mishra, Pradeepta - Ebook PDF Instant Download/DeliveryISBN:  1783989688, 9781783989683 

Full download R Data Mining Blueprints 1st edition after payment.

Product details:

ISBN-10 :  1783989688 

ISBN-13 : 9781783989683

Author:   Pradeepta Mishra 

Learn about data mining with real-world projects Data analysts from beginners to intermediate level who need a step by step helping hand in developing complex data mining projects. They have prior knowledge about basic statistics and little bit of programming language experience in any tool or platform. They ideally would have worked with R before and are now interested in exploring data mining in more depth and in different domains. The R language is a powerful open source functional programming language. At its core, R is a statistical programming language that provides impressive tools for data mining and analysis. It enables you to create high-level graphics and offers an interface to other languages. This means R is best suited to produce data and visual analytics through customization scripts and commands, instead of the typical statistical tools that provide tick boxes and drop-down menus for users. This book explores data mining techniques and shows you how to apply different mining concepts to various statistical and data applications in a wide range of fields. We will teach you about R and its application to data mining, and give you relevant and useful information you can use to develop and improve your applications. It will help you complete complex data mining projects and guide you through handling issues you might encounter during projects.

R Data Mining Blueprints 1st Table of contents:

Chapter 1: Data Manipulation Using In-built R Data
What is data mining?
How is it related to data science, analytics, and statistical modeling?
Introduction to the R programming language
Getting started with R
Data types, vectors, arrays, and matrices
List management, factors, and sequences
Import and export of data types
Data type conversion
Sorting and merging dataframes
Indexing or subsetting dataframes
Date and time formatting
Creating new functions
User-defined functions
Built-in functions
Loop concepts - the for loop
Loop concepts - the repeat loop
Loop concepts - while conditions
Apply concepts
String manipulation
NA and missing value management
Missing value imputation techniques
Summary
Chapter 2: Exploratory Data Analysis with Automobile Data
Univariate data analysis
Bivariate analysis
Multivariate analysis
Understanding distributions and transformation
Normal probability distribution
Binomial probability distribution
Poisson probability distribution
Interpreting distributions

People also search for R Data Mining Blueprints 1st:

army data mining
    
mining blueprints
    
data mining borderlands 2
    
blueprint mining
    
blueprints mr mine

Tags: Data Mining, Blueprints, Pradeepta Mishra, Data analysts