Data science and machine learning with r Reema Thareja
Material type:
TextLanguage: English Publication details: Chennai McGraw Hill 2025Description: 472p. P.BISBN: - 9789354600333
- R 006.31 THA(DAT)
| Item type | Current library | Collection | Call number | Vol info | Copy number | Status | Barcode | |
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REFERENCE STATISTICS
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St. Xavier's University, Kolkata Reference Section | Reference | R 006.31 THA(DAT) (Browse shelf(Opens below)) | S.X.U.K | 13892 | Not For Loan | US13892 | |
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STATISTICS
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St. Xavier's University, Kolkata Lending Section | 006.31 THA(DAT) (Browse shelf(Opens below)) | S.X.U.K | 13893 | Available | S13893 | ||
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STATISTICS
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St. Xavier's University, Kolkata Lending Section | 006.31 THA(DAT)C1 (Browse shelf(Opens below)) | S.X.U.K | 13894 | Available | S13894 |
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| 006.31 ROB(MAC)C3 Machine learning : a hands-on approach | 006.31 STE(PRO) Programming neural networks with Python | 006.31 THA(DAT) Data science and machine learning with r | 006.31 THA(DAT)C1 Data science and machine learning with r | 006.31 TRE(ELE)Ed2 The elements of statistical learning : data mining, inference, and prediction / | 006.31 TRE(ELE)Ed2.C1 The elements of statistical learning : data mining, inference, and prediction / | 006.31 WIN(REI) Reinforcement Learning : industrial applications of intelligent agents |
Table of contents
Chapters
Chapter 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
includes index
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