Advanced Chemometrics and Statistics (ACS)

A documentation built for the ACS course to help the students during the lectures and for exam preparation

Course content

This course is built for MSc of Analytical (Chemistry) Sciences at the University of Amsterdam (UvA). In this course, the students learn how to handle/model multi-dimensional data from simple visualization to machine learning based modeling and inference. The course contains 11 lectures from which 8 of them are tackling independent topics while the remaining are more generic. For 6 out of those 8, separate pages are created within this documentation. In future more topics will be added to the package and thus the documentation. This package utilizes wide range of other packages developed by others, as this is meant to facilitate the introduction of the students to programming and data science. The package is based on julia language.

Introduction to julia and Jupyter notebook
Singular value decomposition (SVD)
MCR-ALS
Partial least square regression (PLS-R)
Hierarchical Cluster Analysis (HCA)
K-means clustering
Decision trees and random forest
Advanced signal processing
Validation and cross-validation
Bayesian statistics I
Bayesian statistics II

For more information about the course and us, please visit us at https://emcms.info.