000			01808nam a22002057a 4500
999			_c2611 _d2611
005			20220628174040.0
008			220628b ||||| |||| 00| 0 eng d
020			_a9789354600333
082			_a006.31 _bTHA
100			_aThareja, Reema _96996
245			_aData science and machine learning in R
260			_bMcGraw Hill Education (India) Pvt. Ltd. _aChennai _c2021
300			_axxiii, 472 p.
365			_aINR _b595.00
504			_aChapter 1: Introduction to Data Sciences and Machine Learning Chapter 2: Machine Learning Algorithms Chapter 3: Machine Learning Algorithms - II Chapter 4: Introduction to R Chapter 5: More on Data Structures Chapter 6: Decision Control and Looping Statements Chapter 7: Generating and Manipulating Data in R Chapter 8: Working with Data Chapter 9: Using dplyr () and tidyr () packages Chapter 10: Plotting graphs in R Chapter 11: Social Media Mining Chapter 12: Implementing Machine Learning Algorithms Chapter 13: Implementing Machine Learning Algorithms - II Index Online Content Appendices Case Studies
520			_aOVRERVIEW The book has been designed keeping in mind the needs of the beginners of this subject area while having no prior knowledge in this field. It is aimed to be used as a textbook for undergraduate and postgraduate students. However, it can also be used by research scholars and professionals. The text introduces the concepts of R programming language in a lucid way and enables the reader to use these to perform data science and machine learning applications for solving real-world problems. Every chapter in this book contains multiple programming exercises and examples that enhance the understanding of the subject.
650			_aData Science _96997
650			_aMachine Learning _92343
942			_2ddc _cBK