alex-sokolov2011/pet-projects
Collection of Data Science PET Projects (Сборник PET-проектов Data Science)
Covers end-to-end ML workflows spanning competition solutions, production MLOps pipelines, and domain-specific applications (delivery forecasting, recommendation systems, credit scoring). Projects demonstrate multi-modal deep learning (CNN + NLP + tabular fusion), ensemble methods, and feature engineering across computer vision, time-series prediction, and structured data tasks. Stack includes modern orchestration (Prefect, MLflow), monitoring (Evidently, Grafana), and cloud-ready deployment patterns (Docker, FastAPI, MinIO).
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Mar 01, 2026
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