Data analysis using R/ Seema Acharya
Publication details: New Delhi: McGraw Hill Education, 2019Description: xxiii, 555 p. ; 24 cmISBN: 9789352605248; 9352605241Subject(s): Parallel computing | Clustering | Exploring data in RDDC classification: 006.312
Contents:
1. Introduction to R
2. Getting started with R
3. Loading and handling data in R
4. Exploring data in R
5. Linear regression using R
6. Logistic regression
7. Decision tree
8. Time series in R
9. Clustering
10. Association rules
11. Text mining
12. Parallel computing with R
Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
General Books | Central Library, Sikkim University General Book Section | 006.312 ACH/D (Browse shelf(Opens below)) | Available | 48063 |
Total holds: 0
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006.31 GOO/D Deep learning/ | 006.31 PRA/M Machine learning using Python/ | 006.31 WEI/D Deep learning from scratch: building with Python from first principles/ | 006.312 ACH/D Data analysis using R/ | 006.312 HAN/D Data mining: concepts adn techques / | 006.312 HO/A Advances in knowledge discovery and data mining | 006.312 LAR/D Data mining and predictive analytics/ |
1. Introduction to R
2. Getting started with R
3. Loading and handling data in R
4. Exploring data in R
5. Linear regression using R
6. Logistic regression
7. Decision tree
8. Time series in R
9. Clustering
10. Association rules
11. Text mining
12. Parallel computing with R
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