Using Random undersampling, Tomeklinks, Random oversampling, SMOTE, SMOTE+Tomeklinks and ADASYN from inbuilt imbalanced learn library and found how many records added or discarded.
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Updated
Oct 21, 2024 - Jupyter Notebook
Using Random undersampling, Tomeklinks, Random oversampling, SMOTE, SMOTE+Tomeklinks and ADASYN from inbuilt imbalanced learn library and found how many records added or discarded.
🎓 Quais são os atributos determinantes no abandono estudantil? Isso é o que esse projeto visa descobrir 😎!
The Repository is created to cover undersampling and oversampling methods to deal imbalance problem.
A fraud detection (exploratory) project using machine learning algorithms over 11 million real transactions
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