Akshat Gupta·Nov 5Handling imbalanced datasetImbalanced dataset can cause major misinterpretation in understanding and developing the output of models, lead to screwed predictions…
Selin Karabulut, PhD·Aug 24Data Imbalance in Machine Learning Explained: Definition, Examples, Ethical Issues, and How to…Here’s how data imbalance shapes outcomes, and what we can do to correct it.
Junhyeon Seo·Apr 6High Accuracy Doesn’t Mean You Can Trust Your AI ModelYour model has an R² of 0.80.
Henry Chukwunwike Morgan-Dibie·Dec 6, 2025Building a Real-Time Fraud Detection System: An End-to-End ML Prototype for NovaPayAbstract
Md. Sazzad Hossain·Nov 30, 2025Handling Data Imbalance in LLM Fine-Tuning: A Complete Practical GuideWhen fine-tuning Large Language Models (LLMs), one of the most common hidden problems is data imbalance. This happens when one type of text…
Dr. Dheeraj Sharan Singh·Mar 27, 2025Solving unbalanced image segmentation problemDeep-learning model is heavily dependent on data. In a way, good quantity and quality of food makes us fit and provides logistics to do the…
InCubedbydhwani mehta·Mar 6, 2025Tackling Data Imbalance with Neighbor Displacement-Based Enhanced Synthetic OversamplingNo class left behind, with core traits intact
InPython in Plain EnglishbyNivedita Bhadra·Jan 1, 2025SMOTE-handle imbalance in PythonHandle data imbalance in Python with SMOTE
