000			05424nam a22001937a 4500
999			_c4650 _d4650
005			20190809163121.0
008			190809b xxu||||| |||| 00| 0 eng d
020			_a9788126576463 _c659
040			_aS.X.U.K
041			_aEnglish
082			_a005.7 MOT(DAT)
100			_aMotwani, Bharti
245			_aData analytics with R _cBharti Motwani
260			_aNew Delhi _bWiley _cc2019
300			_axvii; 646 _bP.B
500			_aPART 1 Basics of R Chapter 1 Introduction to R 1.1 Features of R 1.2 Installation of R 1.3 Getting Started 1.4 Variables in R 1.5 Input of Data 1.6 Output in R 1.7 In-Built Functions in R 1.8 Packages in R Chapter 2 Data Types of R 2.1 Vectors 2.2 Matrices 2.3 Arrays 2.4 Lists 2.5 Factors 2.6 Data Frame Chapter 3 Programming in R 3.1 Decision-Making Structures 3.2 Loops 3.3 User-Defined Functions 3.4 User-Defined Package 3.5 Reports using Rmarkdown Chapter 4 Data Exploration and Manipulation 4.1 Missing Data Management 4.2 Data Reshaping through Melting and Casting 4.3 Special Functions across Data Elements Chapter 5 Import and Export of Data 5.1 Import and Export of Data in Text File 5.2 Import and Export of Data in Excel 5.3 Import and Export of Data in XML 5.4 Import and Export of Data in JSON 5.5 Import and Export of Data in MySQL 5.6 Import and Export of Data in SPSS 5.7 Import and Export of Data in SAS PART 2 Visualization Techniques Chapter 6 Basic Visualization 6.1 Pie Chart 6.2 Bar Chart 6.3 Histograms 6.4 Line Chart 6.5 Kernel Density Plots 6.6 Quantile-Quantile (Q-Q) Plot 6.7 Box-and-Whisker Plot 6.8 Violin Plot 6.9 Dot Chart 6.10 Bubble Plot 6.11 Image Plot 6.12 Mosaic Plot Chapter 7 Advanced Visualization 7.1 Scatter Plot 7.2 Corrgrams 7.3 Star and Segment Plots 7.4 Tree Maps 7.5 Heat Map 7.6 Perspective and Contour Plot 7.7 Using ggplot2 for Advanced Graphics PART 3 Statistical Analysis Chapter 8 Basic Statistics 8.1 Descriptive Statistics 8.2 Table in R 8.3 Correlation and Covariance 8.4 Simulation and Distributions 8.5 Reproducing Same Data Case Study: Web Analytics using Goal Funnels: Asset for e-Commerce Business Chapter 9 Compare Means 9.1 Parametric Techniques Case Study: Green Building Certification Case Study: Comparison of Personal Web Store and Marketplaces for Online Selling Case Study: Effect of Training Program on Employee Performance Case Study: Effect of Demographics on Online Mobile Shopping Apps 9.2 Non-Parametric Tests Chapter 10 Time-Series Models 10.1 Time-Series Object in R 10.2 Smoothing 10.3 Seasonal Decomposition 10.4 ARIMA Modeling 10.5 Survival Analysis Case Study: Foreign Trade in India PART 4 Machine Learning Chapter 11 Unsupervised Machine Learning Algorithms 11.1 Dimensionality Reduction Case Study: Balanced Scorecard Model for Measuring Organizational Performance Case Study: Employee Attrition in an Organization 11.2 Clustering Case Study: Market Capitalization Categories Case Study: Performance Appraisal in Organizations Chapter 12 Supervised Machine Learning Problems 12.1 Regression Case Study: Relationship between Buying Intention and Awareness of Electric Vehicles Case Study: Application of Technology Acceptance Model in Cloud Computing Case Study: Impact of Social Networking Websites on Quality of Recruitment 12.2 Classification Case Study: Prediction of Customer Buying Intention due to Digital Marketing Chapter 13 Supervised Machine Learning Algorithms 13.1 Naïve Bayes Algorithm Case Study: Measuring Acceptability of a New Product 13.2 k-Nearest Neighbor’s (KNN) Algorithm Case Study: Predicting Phishing Websites Case Study: Loan Categorization 13.3 Support Vector Machines (SVMs) Case Study: Fraud Analysis for Credit Card and Mobile Payment Transactions Case Study: Diagnosis and Treatment of Diseases 13.4 Decision Trees Case Study: Occupancy Detection in Buildings Case Study: Artificial Intelligence and Employment Chapter 14 Supervised Machine Learning Ensemble Techniques 14.1 Bagging Case Study: Measuring Customer Satisfaction related to Online Food Portals Case Study: Predicting Income of a Person 14.2 Random Forest Case Study: Writing Recommendation/Approval Reports Case Study: Prediction of Sports Results 14.3 Gradient Boosting Case Study: Impact of Online Reviews on Buying Behavior Case Study: Effective Vacation Plan through Online Services Chapter 15 Machine Learning for Text Data 15.1 Text Mining Case Study: Spam Protection and Filtering 15.2 Sentiment Analysis Case Study: Determining Online News Popularity Chapter 16 Neural Network Models (Deep Learning) 16.1 Steps for Building a Neural Network Model 16.2 Multilayer Perceptrons Model (2D Tensor) Case Study: Measuring Quality of Products for Acceptance or Rejection 16.3 Recurrent Neural Network Model (3D Tensor) Case Study: Financial Market Analysis 16.4 Convolutional Neural Network Model (4D Tensor) Case Study: Facial Recognition in Security Systems Answers to Objective Type Questions Index
650			_aDATA ANALYTICS WITH R
942			_cBK