Fraud detection on 5 million synthetic Nigerian banking transactions: model comparison, class imbalance, and time-feature ablation. - Akorede-02/nigerian-bank-fraud-detection ...
A DataCamp Machine Learning Project that predicts the best crop for a field using soil metrics through EDA, preprocessing, and classification models. - wncelrcn/Predictive-Modeling-for-Agriculture ...
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, ...
A gradient boosting model identified MASLD in lean adults with an AUC of 0.779, using 8 routine clinical measurements.
Vietnamese primary schools proactively integrate AI curricula to teach young learners critical reasoning skills, emphasizing ...
Extremely randomized trees models trained on 96 experimental records predicted primary crack spacing in reinforced concrete ...
Hello everyone, stay safe!! This is Takachan the engineer.AI that identifies spam, AI that predicts sales, AI that ...
Machine learning is increasingly being explored in spine surgery to predict patient outcomes, assist surgical planning and improve intraoperative decision-making, according to a review in the fall ...
Hitting the wall doesn’t mean you’re bad at this. It means you’ve reached the part where the learning is real. Make the goal ...
Hello everyone, stay safe!! This is Takachan the engineer.AI that identifies spam, AI that predicts sales, AI that ...
Researchers built the first public RISC-V dataset combining hardware performance counters with instruction traces and showed ...
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