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Cover image for Veri madenciliği ve makine öğrenmesi : temel algoritmaları ve R dili ile uygulamaları
Veri madenciliği ve makine öğrenmesi : temel algoritmaları ve R dili ile uygulamaları
Author 
Balaban, M. Erdal, author. Kartal, Elif, author.
Preferred Shelf Number 
QA76.9.D343 B35 2018
Format: 
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2. 
Cover image for Python for data science for dummies
Python for data science for dummies
Author 
Massaron, Luca. Mueller, John Paul.
Preferred Shelf Number 
QA76.73.P98 M376 2015
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3. 
Cover image for Risk and predictive analytics in business with R
Risk and predictive analytics in business with R
Author 
Araz, O??zgu??r M., author. Olson, David L., 1944- author.
Preferred Shelf Number 
HD38.5
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003562399
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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4. 
Cover image for DATA SCIENCE AND ANALYTICS WITH PYTHON
DATA SCIENCE AND ANALYTICS WITH PYTHON
Author 
Rogel-Salazar, Jesus.
Preferred Shelf Number 
QA76.9 .D343
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003482062
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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5. 
Cover image for Data science in practice
Data science in practice
Author 
Alby, Tom, author, translator.
Preferred Shelf Number 
QA76.9 .D343
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003426363
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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6. 
Cover image for Data science fundamentals with R, Python, and open data
Data science fundamentals with R, Python, and open data
Author 
Cremonini, Marco, author.
Preferred Shelf Number 
QA76.9 .D343 C77 2024
Electronic Access 
https://onlinelibrary.wiley.com/doi/book/10.1002/9781394213276
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7. 
Cover image for EXPLORING DATA SCIENCE WITH R AND THE TIDYVERSE a concise introduction
EXPLORING DATA SCIENCE WITH R AND THE TIDYVERSE a concise introduction
Author 
Bonnell, Jerry, author. Ogihara, Mitsunori, 1963- author.
Preferred Shelf Number 
QA76.9 .D343
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003320845
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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8. 
Cover image for Statistics in Natural Resources : Applications with R.
Statistics in Natural Resources : Applications with R.
Author 
Russell, Matthew A. (Computer scientist), author.
Preferred Shelf Number 
HC59.3
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003285809
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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9. 
Cover image for A tour of data science : learn R and Python in parallel
A tour of data science : learn R and Python in parallel
Author 
Zhang, Nailong, author.
Preferred Shelf Number 
QA76.9 .D343 Z458 2021 EB
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9781003020646
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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10. 
Cover image for Advanced data science and analytics with Python
Advanced data science and analytics with Python
Author 
Rogel-Salazar, Jesus, author.
Preferred Shelf Number 
QA76.9 .D343 R637 2020
Electronic Access 
Taylor & Francis https://www.taylorfrancis.com/books/9780429446641
OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
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11. 
Cover image for Data science using Python and R
Data science using Python and R
Author 
Larose, Chantal D., author. Larose, Daniel T., author.
Preferred Shelf Number 
QA76.9 .D343 L376 2019
Electronic Access 
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119526865
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12. 
Cover image for Mastering Python for data science : explore the world of data science through Python and learn how to make sense of data
Mastering Python for data science : explore the world of data science through Python and learn how to make sense of data
Author 
Madhavan, Samir, author.
Preferred Shelf Number 
QA76.73.P98 M33 2015
Format: 
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