| 000 | 01829 a2200193 4500 | ||
|---|---|---|---|
| 999 |
_c23050 _d23050 |
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| 003 | VITAP | ||
| 005 | 20200304160040.0 | ||
| 008 | 181204b ||||| |||| 00| 0 eng d | ||
| 020 | _a9789352605248 | ||
| 040 | _cVITAP | ||
| 082 |
_223rd _a519.502855133 ACH |
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| 100 |
_aAcharya, Seema _98951 |
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| 245 |
_aData Analytics Using R / _cSeema Acharya |
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| 260 |
_bMcGraw Hill Education (India) Private Ltd. _aChennai _c2018 |
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| 300 | _axxii, 555p. | ||
| 500 | _aIt includes index This book is aimed at undergraduate students of computerscience and engineering. The book will be useful companion for IT professionalsto data analysts and decision makers responsible for driving strategicinitiatives, and management graduates and business analysts, engaged inself-study. This book by Acharya unleashes the power of R as astatistical data analytics and visualization tool and introduces the learnersto several data mining algorithms and chart forms / visualizations. It has goodemphasis on ‘asking the right questions’. Exhaustivecoverage includes installation of R and its package, getting accustomed to Rinterface and R commands, working with data from disparate data sources (.csv,JSON, XML, RDBMS etc.), getting conversant with classification, clustering,association rule mining, regression, text mining etc. 12 Casestudies namely Insurance Fraud Detection, Customer Insights Analysis, SalesForecasting, Credit Card Spending by Customer Groups and Helping RetailersPredict In-store Customer Traffic Pedagogy 300+chapter-end and check your progress questions for self-assessment 200Multiple-choice questions 10+hands-on practical exercises Exhaustiveillustrations | ||
| 856 | _uhttps://www.mheducation.co.in/data-analytics-using-r-9789352605248-india#tab-label-product-description-title | ||
| 942 |
_2ddc _cREF |
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