LibAUC: A Deep Learning Library for X-Risk Optimization

Top1 Solution on OGB Challenge (Graph Property Prediction on HIV dataset)

Introduction to Machine Learning with Python

Header-only AUROC/ROC-AUC in C++11

This repository hosts a cutting-edge deep learning model developed to predict 6-month incident heart failure utilizing electronic health records (EHRs). Heart failure is a multifaceted medical condition characterized by its significant impact on patients' well-being and healthcare systems.

Hi all! My project aims to predict customer conversion for an insurance company. The main objective of the project is to develop an accurate and efficient model that can aid the insurance company in improving its sales conversion rate and reducing marketing costs.

CheXpert-based chest X-ray multi-label classification PoC with DenseNet121, AUROC/AUPRC evaluation, threshold tuning, and Grad-CAM visualization.

Developed a Logistic Regression model to detect anemia in patients by analyzing and refining data sets for improved accuracy.

mlopspl 🛠️🔄🚀 : E2E MLOps Vertex AI Pipelines # ML workflow # Kubeflow Pipelines SDK # Cloud Scheduler

This project implements a Machine Learning model that predicts if a college basketball player will be drafted to join the NBA League based on the player's statistics for the current season.

Classification prediction model

Cross-validation, knn classif, knn régression, svm à noyau, Ridge à noyau

Predicted rider retention for a taxi service and identified most significant factors that contributed to it. Achieved an 80% accuracy with a catboost model, which was chosen for its interpretability.

Snake — SAT-based explainable classifier. Shannon MI feature selection, 30 boolean test types, 7 oppose profiles. Auditable regression engine. Zero dependencies. Pure Python.