Introduction to data mining and analytics with machine learning in R and Python / Kris Jamsa
Material type:
TextPublication details: USA : Jones & Bartlett Learning, 2021Description: 668 pISBN: - 9781284180909 (pbk)
- 006.312 J249
Contents:
1. Data mining and analytics
2. Machine learning
3. Database and data warehouse
4. Data visualization
5. Keep excel I your toolset
6. Keep SQL in your toolset
7. noSQL data analysis
8. Programming data mining and analytic solutions
9. Data processing and cleansing
10. Data clustering
11. Predictive analytics
12. Mining text and images
13. Big data mining
14. Planning and launching a data mining and data analytics project
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UE-Central Library | 006.312 J249 (Browse shelf(Opens below)) | Available | T16855 | ||
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Books
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UE-Central Library | 006.312 J249 (Browse shelf(Opens below)) | Available | T16856 | ||
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Books
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UE-Central Library | 006.312 J249 (Browse shelf(Opens below)) | Available | T16608 | ||
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Books
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UE-Central Library | 006.312 J249 (Browse shelf(Opens below)) | Available | T16609 | ||
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Books
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UE-Central Library | 006.312 J249 (Browse shelf(Opens below)) | Available | T16610 |
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| 006.312 J249 Introduction to data mining and analytics with machine learning in R and Python | 006.312 J249 Introduction to data mining and analytics with machine learning in R and Python | 006.312 J249 Introduction to data mining and analytics with machine learning in R and Python | 006.312 J249 Introduction to data mining and analytics with machine learning in R and Python | 006.312 K1679 Data mining : | 006.312 K1679 Data mining : | 006.312 M7253 Machine learning : algorithms and applications |
1. Data mining and analytics
2. Machine learning
3. Database and data warehouse
4. Data visualization
5. Keep excel I your toolset
6. Keep SQL in your toolset
7. noSQL data analysis
8. Programming data mining and analytic solutions
9. Data processing and cleansing
10. Data clustering
11. Predictive analytics
12. Mining text and images
13. Big data mining
14. Planning and launching a data mining and data analytics project
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