GitHub repository: Asjadali121/Multi-class-Classification-with-Imbalanced-Data
Primary language: Jupyter Notebook
Created: 2023-08-20T18:19:04Z
Description: dataset with multiple classes where some classes have significantly fewer samples than others, implement a machine learning model that effectively handles class imbalance. Use techniques such as data augmentation, oversampling, or cost-sensitive learning to improve the model's performance and evaluate it using appropriate metrics.