A new AI model developed using data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) aims to detect Alzheimer's disease early by handling class imbalance and refining feature selection. The…
A developer built a governed data pipeline that produces a single master dataset from the UCI Adult Census Income data, serving both a Power BI dashboard and four ML models for income prediction. Miss…
A new study finds Random Forest achieves a 0.99 F1-score in detecting intrusions on IoT devices using the Gotham2025 dataset, outperforming XGBoost, Logistic Regression, Naive Bayes, and Deep Neural N…
A developer found that improving data quality through feature engineering boosted a Logistic Regression model's accuracy from 72% to 86%—a 14-percentage-point gain—without changing the algorithm. By h…