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Learn essential data preprocessing techniques for chemometric analysis in this comprehensive tutorial covering centering and scaling methods, normalization approaches including SNV and MSC, derivative calculations and baseline correction, data warping procedures, and automated alignment strategies to prepare spectroscopic and analytical chemistry data for machine learning applications.
Syllabus
Preprocessing 1. Centering & Scaling
Preprocessing 2. Normalization, SNV and MSC
Preprocessing 3. Derivatives and baseline
Preprocessing 4. Warping data
preprocess 5. Automating alignment
Taught by
Chemometrics & Machine Learning in Copenhagen