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019 _a1249246839
_a1340087459
020 _a9780128147627
_qelectronic book
020 _a0128147628
_qelectronic book
020 _z9780128147610
_qpaperback
020 _z012814761X
_qpaperback
024 8 _a(WaSeSS)ssj0002452386
035 _a(OCoLC)1076873218
_z(OCoLC)1249246839
_z(OCoLC)1340087459
050 4 _aQA76.9.D343
_bK68 2019
072 7 _aCOM
_x000000
_2bisacsh
082 0 4 _a006.3/12
_223
100 1 _aKotu, Vijay,
_eauthor.
_1https://id.oclc.org/worldcat/entity/E39PCjGMRjccGq79r4jmW6JWwy
_934308
240 1 0 _aPredictive analytics and data mining
245 1 0 _aData science :
_bconcepts and practice /
_cVijay Kotu, Bala Deshpande.
250 _aSecond edition.
264 1 _aCambridge, MA :
_bMorgan Kaufmann Publishers, an imprint of Elsevier,
_c[2019]
300 _a1 online resource (xix, 548 pages) :
_billustrations
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_2rdaft
500 _aPrevious edition under title: Predictive analytics and data mining : concepts and practice with RapidMiner.
504 _aIncludes bibliographical references and index.
520 _aLearn the basics of Data Science through an easy to understand conceptual framework and immediately practice using RapidMiner platform. Whether you are brand new to data science or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Science has become an essential tool to extract value from data for any organization that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, engineers, and analytics professionals and for anyone who works with data. You'll be able to: Gain the necessary knowledge of different data science techniques to extract value from data. Master the concepts and inner workings of 30 commonly used powerful data science algorithms. Implement step-by-step data science process using using RapidMiner, an open source GUI based data science platform Data Science techniques covered: Exploratory data analysis, Visualization, Decision trees, Rule induction, k-nearest neighbors, Na�ive Bayesian classifiers, Artificial neural networks, Deep learning, Support vector machines, Ensemble models, Random forests, Regression, Recommendation engines, Association analysis, K-Means and Density based clustering, Self organizing maps, Text mining, Time series forecasting, Anomaly detection, Feature selection and more...
588 _aDescription based on online resource; title from digital title page (viewed on June 20, 2023).
650 0 _aData mining.
650 0 _aConsumer behavior.
650 0 _aElectronic data processing.
700 1 _aDeshpande, Balachandre,
_eauthor.
_1https://id.oclc.org/worldcat/entity/E39PCjvdDq76QgMM4YYqqrBvBP
_934309
758 _ihas work:
_aPredictive analytics and data mining (Text)
_1https://id.oclc.org/worldcat/entity/E39PCG8qkVrtDpdkYWkBvhvBvb
_4https://id.oclc.org/worldcat/ontology/hasWork
776 0 8 _iPrint version :
_aKotu, Vijay.
_tData Science.
_bSecond edition.
_dCambridge, MA : Elsevier/Morgan Kaufmann Publishers, [2019]
_z9780128147610
_w(DLC) 2019937443
_w(OCoLC)1088441608
856 4 0 _3ScienceDirect
_uhttps://www.sciencedirect.com/science/book/9780128147610
999 _c216513
_d216513