Maternal Health Risk prediction MLOps pipeline
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Dec 6, 2022 - Python
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evidently
Here are 36 public repositories matching this topic...
Final Project of the MLOps Zoomcamp hosted by DataTalksClub.
python flask aws machine-learning continuous-integration docker-compose makefile sklearn pandas pytest lightgbm prefect mlops mlflow github-actions pre-commit-hook evidently
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Sep 12, 2022 - Python
Online Prediction Machine Learning System designed, deployed and maintained with MLOps Practices. Goal of the project is to predict individuals income based on census data.
python docker cloud-computing machinelearning batch-processing prefect flask-restapi mlops mlflow-tracking evidently
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Sep 12, 2022 - Jupyter Notebook
MLOps Zoomcamp hosted by DataTalksClub.
docker machine-learning monitoring test-automation ci-cd prefect mlops mlflow-tracking-server github-actions streamlit evidently deployment-workflows
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Sep 2, 2022 - HTML
This an attempt to predict fraud transactions from a huge collection of records of bank transaction over a period of time.
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Jan 19, 2023 - Jupyter Notebook
Learn how to handle model drift and perform test-based model monitoring
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May 6, 2025 - Jupyter Notebook
🌎 🚙📚 Predicting travel times and traffic density on a highway in Slovenia
machine-learning recurrent-neural-networks lstm gru traffic-prediction onnx traffic-flow-prediction onnxruntime onnx-models mlflow-tracking travel-time-prediction evidently
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Jul 12, 2024 - CSS
This project builds an MLOps pipeline using Evidently for monitoring model performance and Prefect for task orchestration. It processes NYC taxi data, stores metrics in PostgreSQL, and visualizes results in Grafana via Docker Compose.
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Jun 27, 2024 - Jupyter Notebook
This project adopts a modular Python architecture within an MLOps framework to enhance subscription renewal predictions, utilizing FastAPI and MongoDB with AWS integration (S3, ECR, EC2). Docker ensures seamless deployment, and GitHub Actions automate the CI/CD workflows. Evidently AI monitors drift to guarantee predictive accuracy and reliability.
api docker aws workflow ec2 deployment pipeline scikit-learn s3 ecr mangodb yaml-configuration modularization mlops drift-detection github-actions fastapi evidently
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Apr 25, 2024 - Jupyter Notebook
DataTalks Club - Machine Learning Operations Zoomcamp (Cohort 2024)
git testing dockerfile aws monitoring docker-compose model terraform scikit-learn jupyter-notebook grafana-dashboard mlops mlflow cicd-pipeline evidently mageai
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Jul 13, 2024 - Jupyter Notebook
White and Red Wine classification using logistic regression
python flask data-science machine-learning airflow pipeline numpy scikit-learn postgresql pandas supervised-learning classification logistic-regression classification-algorithm logistic-regression-algorithm dataingestion mlflow airflow-dags machine-learning-pipeline evidently
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Dec 24, 2021 - HTML
Development, deployment and monitoring of machine learning models following the best MLOps practices
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Nov 18, 2022 - Jupyter Notebook
An end-to-end machine learning project predicting DoorDash delivery durations, utilizing MLOps principles and best practices.
machine-learning monitoring terraform grafana orchestration cicd prefect mlops mlflow batch-pipeline evidently
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Oct 29, 2024 - Jupyter Notebook
This repository contains a machine learning project focused on building a recommender system. The project is structured to facilitate the development, training, evaluation, and deployment of the recommender model. Key components and configurations are managed using various tools and frameworks.
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Jan 29, 2025 - Jupyter Notebook
Comparison between several Python data profile libraries.
reporting scikit-learn why automl reporting-tool ydata evidently scklearn deepchecks evidentlyai ydata-profiling
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Mar 1, 2024 - HTML
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