Chemotools - Integrating Chemometrics and Scikit-Learn for Spectral Data Analysis
Offered By: Chemometrics & Machine Learning in Copenhagen via YouTube
Course Description
Overview
Explore "Chemotools," a production-oriented Python package that seamlessly integrates chemometrics and scikit-learn in this 54-minute video presentation. Discover how this versatile library unifies chemometric model development by combining spectral preprocessing methodologies with the scikit-learn API and the broader Python machine learning ecosystem. Learn how Chemotools standardizes and simplifies the complex process of creating and implementing robust chemometric and machine learning models for spectral data. Gain insights into the package's features, capabilities, and potential applications in the field of chemometrics. For more detailed information and access to the package, visit the GitHub repository at https://github.com/paucablop/chemotools.
Syllabus
Chemotools: A Python Package that Integrates Chemometrics and scikit-learn
Taught by
Chemometrics & Machine Learning in Copenhagen
Tags
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent