Supervised Learning - Ensemble Models

Ensemble Techniques in Data Science
4.95 (40 reviews)
Udemy
platform
English
language
IT Certification
category
AISPRY TUTOR
instructor
Supervised Learning - Ensemble Models
451
students
13.5 hours
content
Jul 2023
last update
$19.99
regular price

What you will learn

The theoretical foundations of ensemble learning, including the concepts of bias, variance, and ensemble diversity.

Different types of ensemble methods, such as bagging, boosting, and stacking, and how they can be applied to improve model performance.

Techniques for combining individual models, including averaging, weighted averaging, and meta-learning.

Practical implementation of ensemble methods using popular machine learning libraries and frameworks, along with hands-on experience in building ensemble models

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5429888
udemy ID
07/07/2023
course created date
20/07/2023
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