Comprehensive coverage of multivariate statistics and machine learning concepts for applied data science
Step-by-step instructions for code implementation in R and Python to support hands-on learning
Clear interpretation of statistical analyses to bridge theory and practice
Practical examples and exercises to reinforce understanding and application
Up-to-date content with insights from a leading expert in quantitative psychology
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The book offers a theoretical orientation to the concepts required to introduce or review statistical and machine learning topics, and in addition to teaching the techniques, instructs readers on how to perform, implement, and interpret code and analyses in R and Python in multivaria