Learn what is imbalanced learning is all about: causes, consequences and main solutions to handle unbalanced datasets
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Understand the underline causes of the Class Imbalance problem
Why it is a major challenge in machine learning and data mining fields
Learn the different characteristics of imbalanced datasets
Learn the state-of-the-art techniques and algorithms
Understand couple data-based undersampling techniques and apply them.
This comprehensive Unbalanced Data - Quick Start curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Unbalanced Data - Quick Start course:
This course is perfect for:
Everything you need to know about this online course, from duration to certification
Course Instructor
Bassam Almogahed
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
View Current Pricing
Check provider for latest offers
Pricing may vary. Check the course provider for current promotions and exact pricing.
Unbalanced Data - Quick Start isn't for you? Don't worry, explore these courses and advance your skills or learn something totally new.
