| 000 | 01328nam a22002297a 4500 | ||
|---|---|---|---|
| 005 | 20260327160630.0 | ||
| 008 | 260327b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9788126576463 | ||
| 040 | _cAL | ||
| 041 | _aeng | ||
| 082 |
_a005.133 _bMOTD |
||
| 100 |
_aBharti Motwani _9259664 |
||
| 245 | _aData analytics with R | ||
| 260 |
_aNew Delhi _bWiley _c2023 |
||
| 300 |
_axvii,646p _bPB _c23.5x18cm |
||
| 365 |
_2Information Science and Engineering _aVBI-2645 _b₹666.75 _c₹ _d₹889.00 _e25% _f20-02-2026 |
||
| 520 | _aData analysis is the method of examining, cleansing, and modelling with the objective of determining useful information for effective decision-making and operations. It includes diverse techniques and tools and plays a major role in different business, Science and Social Science areas. R software provides numerous functions and packages for using different techniques for producing desired outcome. Data analytics with R will enable readers gain sufficient knowledge and experience to perform analysis using different analytical tools available in R. Each Chapter begins with a number of important and interesting examples taken from a variety of sectors. | ||
| 650 |
_aProgramming in R _9259665 |
||
| 650 |
_aMachine Learning _9259666 |
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| 650 |
_aStatistical Analysis _9259667 |
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| 942 |
_2ddc _cBK |
||
| 999 |
_c241079 _d241079 |
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