ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.

[ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架

Experimental implementations of several (over/under)-sampling techniques not yet available in the imbalanced-learn library.

Onco-Logic is a comprehensive, multi-modal decision support ecosystem designed to transform cancer care by unifying fragmented patient data. The suite leverages advanced AI and machine learning to provide clinicians and researchers with a holistic understanding of each patient's disease, enabling a new frontier in precision oncology.

Onco-Logic is a comprehensive, multi-modal decision support ecosystem designed to transform cancer care by unifying fragmented patient data. The suite leverages advanced AI and machine learning to provide clinicians and researchers with a holistic understanding of each patient's disease, enabling a new frontier in precision oncology.

A web application for balancing datasets.

Binary classification from a dataset with imbalanced target feature classes

ML-based prediction of NSCLC recurrence with gene expression data

Dealing with Imbalanced Datasets in Binary Classification: A Comparative Study of Resampling and Ensemble Methods

Модель классификации токсичных комментариев с F1 0.7506 на основе CatBoost и TF-IDF. Использованы Python, Scikit-learn, NLTK, SMOTE.