Statistical Software.
Overview
| Works: | 14 works in 9 publications in 9 languages | |
|---|---|---|
Titles
Time series forecasting using machine learning = case studies with R and iForecast /
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(Language materials, printed)
An Introduction to Statistics with Python = With Applications in the Life Sciences /
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(Language materials, printed)
R 4 Quick Syntax Reference = A Pocket Guide to the Language, API's and Library /
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(Language materials, printed)
Introduction to statistics and data analysis = with exercises, solutions and applications in R /
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(Language materials, printed)
Partial least squares path modeling = basic concepts, methodological issues and applications /
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(Language materials, printed)
Fundamentals of supervised machine learning = with applications in Python, R, and Stata /
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(Language materials, printed)
Predictive analytics with KNIME = analytics for citizen data scientists /
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(Language materials, printed)
Statistics applied with the R Commander = data analysis is (not) an art /
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(Language materials, printed)
A first course in statistical learning = with data examples and Python code /
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(Language materials, printed)
Elements of network science = theory, methods and applications in Stata, R and Python /
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(Language materials, printed)
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