Buy Now Free
- Level Intermediate
- Duration 3 hours
-
Offered by
About
In this 2 hour guided project you will learn how to deal with imbalance classification problems in a profound manner, applying several resampling strategies and visualizing the effects of resampling on imbalance classification dataset. Note: This project works best for learners who are based in the North America region. We're currently working on providing the same experience in other regions.Auto Summary
Discover how to tackle imbalanced classification problems with confidence in the "Effectively Dealing with Imbalance Classes" course. Designed for IT and Computer Science enthusiasts, this 2-hour guided project offers a deep dive into various resampling strategies. You'll explore practical techniques and learn to visualize the impact of resampling on imbalanced datasets, ensuring a comprehensive understanding of the topic. Led by expert instructors from Coursera, this intermediate-level course is ideal for learners looking to enhance their data science skills. With a free subscription option, you can easily access and benefit from the valuable insights provided. Perfect for data scientists, analysts, and anyone interested in improving their approach to imbalance classification, this course is a must-have addition to your learning journey.