000			02113nam a22002537a 4500
999			_c3868 _d3868
005			20221206143539.0
008			221206b ||||| |||| 00| 0 eng d
020			_a9781484256770
082			_a650.0285 _bHOD
100			_aHodeghatta, Umesh R _99089
245			_aBusiness analytics using R - a practical approach
260			_bApress  _aBangalore _c2022
300			_axvii, 279 p.
365			_aINR _b749.00
504			_aOverview of Business Analytics Umesh R. Hodeghatta, Umesh Nayak Pages 1-15 Introduction to R Umesh R. Hodeghatta, Umesh Nayak Pages 17-36 R for Data Analysis Umesh R. Hodeghatta, Umesh Nayak Pages 37-58 Introduction to descriptive analytics Umesh R. Hodeghatta, Umesh Nayak Pages 59-89 Business Analytics Process and Data Exploration Umesh R. Hodeghatta, Umesh Nayak Pages 91-130 Supervised Machine Learning—Classification Umesh R. Hodeghatta, Umesh Nayak Pages 131-160 Unsupervised Machine Learning Umesh R. Hodeghatta, Umesh Nayak Pages 161-186 Simple Linear Regression Umesh R. Hodeghatta, Umesh Nayak Pages 187-205 Multiple Linear Regression Umesh R. Hodeghatta, Umesh Nayak Pages 207-231 Logistic Regression Umesh R. Hodeghatta, Umesh Nayak Pages 233-255 Big Data Analysis—Introduction and Future Trends
520			_aThe book covers both descriptive analytics and predictive analytics. It also discusses business value and how analytics is linked to statistics, machine learning, and artificial intelligence. Most of the books in the market cover only statistics or regression whereas we cover complete analytics and its life cycle This book explains the concepts backed by examples and case studies which are easy to understand and follow This book offers the appropriate mix of theory and practice with relevant and useful examples
650			_aManagement information systems _910684
650			_aBusiness--Data processing _9840
650			_aR (Computer program language) _91512
650			_aData mining _9365
650			_aProgramming languages (Electronic computers) _9838
700			_aUmesha, Nayak _910685
942			_2ddc _cBK