Skip to content
#

evidently

Here are 97 public repositories matching this topic...

End-to-end platform for training, deploying, and monitoring a churn prediction model—built using MLOps best practices and tools applied from the DataTalksClub MLOps Zoomcamp. Project earned the highest-tier score (achieved by 11 out of 200+ cohort participants) in peer-reviewed project assessment.

  • Updated Sep 5, 2025
  • Jupyter Notebook

Production MLOps pipeline for Paris bike traffic prediction. Airflow orchestration, MLflow tracking (Cloud SQL), FastAPI deployment. Features: automated ingestion, drift detection, champion/challenger models, Prometheus+Grafana monitoring, Discord alerts. 15 Docker services locally.

  • Updated Nov 7, 2025
  • Python

Production-grade MLOps pipeline for image classification. EfficientNet-B0 trained on 14,000 real images (86.85% accuracy) with FastAPI serving, A/B testing, MLflow model registry, drift detection, and GitHub Actions CI/CD. Deployed on Railway. Built for Adobe ML Engineer application.

  • Updated May 31, 2026
  • Python

Improve this page

Add a description, image, and links to the evidently topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the evidently topic, visit your repo's landing page and select "manage topics."

Learn more