Overview
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Learn the fundamentals and advanced applications of Partial Least Squares Regression (PLS-R) through this comprehensive video playlist from Chemometrics & Machine Learning in Copenhagen. Master the theoretical foundations of PLS-R methodology across four detailed introductory segments that build your understanding progressively. Explore essential validation techniques through dedicated sessions covering proper model assessment and performance evaluation methods. Discover critical pre-processing strategies that prepare your data for optimal PLS-R analysis. Delve into variable selection techniques that enhance model performance and interpretability. Gain additional insights into advanced PLS-R features and practical considerations for real-world applications in chemometrics and machine learning contexts.
Syllabus
Partial Least Squares Regression 1 Introduction (1/4)
Partial Least Squares Regression 1 Introduction (2/4)
Partial Least Squares Regression 1 Introduction (3/4)
Partial Least Squares Regression 1 Introduction (4/4)
Partial Least Squares Regression 2 Validation (1/2)
Partial Least Squares Regression 2 Validation (2/2)
Partial Least Squares Regression 3 Pre-processing
Partial Least Squares Regression 4 Variable selection
Partial Least Squares Regression 5 Additional information
Taught by
Chemometrics & Machine Learning in Copenhagen