This Repository deals with Credit Risk evaluation and prediction of default
Automated receipt categorization using a swarm intelligence multi-agent system. Features annotation-driven extraction, adaptive consensus, and robust expense classification for real-world document processing.
Deep Learning-based classification of diabetic kidney disease from histopathology images using CNN models and medical image analysis techniques.
A web application for predicting the species of Iris flowers using a machine learning model trained with the Iris dataset, with FastAPI, a modern web framework for building APIs.
End-to-end Data Science & ML projects covering Healthcare, Retail, Automotive & Finance — EDA, feature engineering, regression, classification, and statistical analysis | Python · Scikit-learn · Pandas
Trains a custom ensemble model from scratch on the top 10 crypto coins by market cap and ranks them by predicted move + confidence over the next 1-2 hours. No pretrained weights, no cached model - retrains every run.
Ensemble gradient-boosting models for fatigue prediction with calibrated prediction intervals and data-split comparison
Add a description, image, and links to the essemblelearning topic page so that developers can more easily learn about it.
To associate your repository with the essemblelearning topic, visit your repo's landing page and select "manage topics."