Customer Churn Prediction using Python, Exploratory Data Analysis, Random Forest and XGBoost. - Tejoshkumar/Customer-Churn-Prediction_ML ...

At HTC-19 in Leuven, Belgium, Viktoriia Turkina (University of Amsterdam) discussed her group’s strategy for prioritizing ...

Introduction Recurrent stroke remains a major threat after an index stroke, but individual risk is difficult to estimate because recurrence reflects interacting clinical, imaging, treatment, ...

AI in myeloproliferative neoplasms can grade marrow fibrosis and predict survival, but authors say prospective, ...

Mumbai's mangrove cover has decreased significantly, with a loss of approximately 30.20 square kilometers recorded.

A gradient boosting model identified MASLD in lean adults with an AUC of 0.779, using 8 routine clinical measurements.

In eThekwini, researchers have harnessed machine learning and satellite data to spot the city's most landslide-prone zones. A ...

An analysis of more than 183,000 American adults surveyed over an 11-year span indicates that higher daily social media use ...

Six models (Decision Tree, Logistic Regression, Random Forest, K-Nearest Neighbours, Gradient Boosting, XGBoost) are developed on the 2019 Ghana Malaria Indicator Survey and tested once on the 2022 ...

At MSToronto 2026, investigators applied machine learning to health records, retinal scans, and blood samples to flag ...

A study of 138 elementary students in Jakarta shows that interaction traces from VR-integrated e-modules can predict ...

A combination of drone-based remote sensing and machine learning could help researchers monitor soil health across larger ...