Exploring Lecture 5 8 Handling Imbalanced Data
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- Most machine learning algorithms are designed to train on
- Lecture
- What do you do when your
- Imbalanced data
- Handling Imbalanced Dataset
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In many applications (e.g. medical data or fraud detection) it is common to have Credit card fraud detection, cancer prediction, customer churn prediction are some of the examples where you might get an ... Imbalanced Data In this video Dr. Max is going to answer the following question: What is an
This video talks about SMOTE for
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