Auto-Sklearn - Automated Machine Learning in Python
Offered By: EuroPython Conference via YouTube
Course Description
Overview
Discover how to streamline machine learning pipeline development using Auto-sklearn in this 45-minute EuroPython 2021 conference talk. Learn about Automated Machine Learning (AutoML) and its potential to make machine learning more accessible. Explore the inner workings of Auto-sklearn, a popular open-source library developed by the ML Lab at the University of Freiburg, and understand how it serves as a drop-in replacement for scikit-learn estimators. Gain insights into efficient hyperparameter optimization algorithms and full AutoML implementation. Suitable for data scientists and domain experts with basic understanding of machine learning pipelines in scikit-learn and Python, this talk covers AutoML applications, Auto-sklearn functionality, and practical usage tips to enhance your machine learning workflow.
Syllabus
Matthias Feurer, Katharina Eggensperger - Auto-Sklearn: Automated Machine Learning in Python
Taught by
EuroPython Conference
Related Courses
AutoML con AutoSklearn y Google ColabCoursera Project Network via Coursera Automated Machine Learning en Microsoft Power BI
Coursera Project Network via Coursera Automated Machine Learning en Power BI Clasificación
Coursera Project Network via Coursera Natural Language Processing and Capstone Assignment
University of California, Irvine via Coursera Developing Models in Microsoft Azure
Pluralsight