Data Science

SMOTE vs Random Oversampling: A Comparison of Techniques for Balancing Imbalanced DatasetsIntroductionIn machine learning, one of the most common challenges that data scientists and analysts face is dealing with imbalanced datasets. When the classes in a dataset are unevenly distributed, it can lead to biased models that perform poorly, especially for the underrepresented class. To … Read more