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Data Science with R (2018)

Data Science with R

English | November 17, 2018 | ISBN: 1729017452 | 266 Pages | PDF | 7.84 MB

A Step By Step Guide with Visual Illustrations and ExamplesThe Data Science field is expected to continue growing rapidly over the next several years and Data Scientist is consistently rated as a top career.Data Science with R gives you the necessary theoretical background to start your Data Science journey and shows you how to apply the R programming language through practical examples in order to extract valuable knowledge from data. Professor Andrew Oleksy guides you through all important concepts of data science including the R programming language, Data Mining, Clustering, Classification and Prediction, Hadoop framework and more.

Table of ContentsIntroduction to Data Mining Data ScienceKnowledge Discovery in Databases (KDD)Model TypesExamples and CounterexamplesClassification of Data Mining methodsApplicationsChallengesThe R Programming LanguageBasic Concepts, Definitions and NotationsTool Installation

Introduction to R Data TypesBasic TasksControl StructuresFunctionsScoping RulesIterated FunctionsHelp from the console and Package Installation
Types, Quality and Data Preprocessing Categories and Types of VariablesPreprocessing processesdplyr and tidyr packages
Summary Statistics and Visualization Measures of PositionMeasures of DispersionVisualization of Qualitative DataVisualization of Quantitative Data
Classification and Prediction ClassificationPredictionOverfitting and Regularization
Clustering Unsupervised LearningConcept of ClusterK-means algorithmHierarchical Clustering AlgorithmsDBSCAN Algorithm
Mining of Frequent Itemsets and Association Rules IntroductionTheoretical BackgroundApriori AlgorithmFrequent Itemsets TypesPositive and Negative Border of Frequent ItemsetsAssociation Rules MiningAlternative Methods for Large Itemsets generationFP-Growth AlgorithmArules Package
Computational Methods for Big Data Analysis (Hadoop and MapReduce) IntroductionAdvantages of Hadoop’s Distributed File SystemHadoop UsersHadoop ArchitectureThe Hadoop Cluster ArchitectureHadoop Java APIList Loops & Generic Classes and Methods

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