Call Number (LC) Title Results
QA76.9.D343 Z458 2021eb A tour of data science : learn R and Python in parallel / 1
QA76.9.D343 Z46 2023 Learn data mining through Excel : a step-by-step approach for understanding machine learning methods / 1
QA76.9.D343 Z526 2013 Data mining applications with R
Data mining applications with R / 		3
QA76.9.D343 Z526 2013eb Data mining applications with R / 1
QA76.9.D343 Z526 2014eb Data mining applications with R
Data mining applications with R / 		2
QA76.9.D343 Z53 2012eb Spectral feature selection for data mining / 1
QA76.9.D343 Z536 2019eb Multidimensional mining of massive text data / 1
QA76.9.D343 Z54 2010 Web service mining application to discoveries of biological pathways / 1
QA76.9.D343 Z54 2012 Mining for strategic competitive intelligence foundations and applications / 1
QA76.9.D345 Cody's data cleaning techniques using SAS® /
Cleaning data for effective data science : doing the other 80% of the work with Python, R, and command-line tools /
How can I clean my data for use in a predictive model? / 		4
QA76.9.D345 A14 2022 3D data creation to curation : community standards for 3D data preservation / 2
QA76.9.D345 A34 2013e Agent-based computational economics using Netlogo / 1
QA76.9.D345 C63 1999eb Cody's data cleaning techniques using SAS software / 1
QA76.9.D345 C63 2008eb Cody's data cleaning techniques using SAS / 1
QA76.9.D345 D38 2018 Data wrangling. 1
QA76.9.D345 D38 2023 Data wrangling : concepts, applications and tools / 2
QA76.9.D345 F33 no.32-1 v.3 American national standard character set for optical character recognition (OCR-A) / 1
QA76.9.D345 F33 no.32-1 v.4 American national standard : character set for optical character recognition (OCR-B) / 1
QA76.9.D345 F66 2019 Kernelization : theory of parameterized preprocessing / 2
QA76.9.D345 F69 2020 Creating good data : a guide to dataset structure and data representation / 3