GitHub

Predicting Student Performance Using Machine Learning

A Machine Learning project to analyze student performance and predict academic outcomes using Python, Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn. - ...
BMJ Open

Machine learning-based prediction models for recurrent stroke after an index stroke: a scoping review protocol

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, ...

[G Certification Day 9] What is Unsupervised Learning in AI? k-means, Principal Component Analysis, and Recommendation Systems

Hello everyone, stay safe!! This is Takachan the engineer.AI that identifies spam, AI that predicts sales, AI that ...
BIOENGINEER

Bayesian Framework Merges Clinical Expertise With Machine Learning Diagnosis

A new Bayesian framework called PIML combines machine learning analysis of electrical impedance signals with clinical prior ...

[G-Certification Day 8] What is Supervised Learning in AI? Linear Regression, SVM, and Decision Trees

Hello everyone, stay safe!! This is Takachan the engineer.AI that identifies spam, AI that predicts sales, AI that ...
BIOENGINEER

Machine learning spots RISC-V hardware attacks from processor performance counters

Researchers built the first public RISC-V dataset combining hardware performance counters with instruction traces and showed ...

Did the Hardest Problem in A.I. Just Get Much Easier?

A prominent researcher claims to have a revolutionary approach to “interpretability,” or the science of why A.I. models do ...
Rebellion Research

Dynamic Asset Allocation Using Machine Learning for Risk Management

Explore dynamic asset allocation using machine learning to adapt portfolio weights, interpret market signals, and balance ...