Maternal Health Risk prediction MLOps pipeline
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Updated
Dec 6, 2022 - Python
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Maternal Health Risk prediction MLOps pipeline
Final Project of the MLOps Zoomcamp hosted by DataTalksClub.
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.
MLOps Zoomcamp hosted by DataTalksClub.
This an attempt to predict fraud transactions from a huge collection of records of bank transaction over a period of time.
Learn how to handle model drift and perform test-based model monitoring
DataTalks Club - Machine Learning Operations Zoomcamp (Cohort 2024)
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.
🌎 🚙📚 Predicting travel times and traffic density on a highway in Slovenia
Development, deployment and monitoring of machine learning models following the best MLOps practices
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.
Agent AI tự động giám sát drift dữ liệu trong pipeline ML, cảnh báo qua email và Slack.
White and Red Wine classification using logistic regression
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.
An end-to-end machine learning project predicting DoorDash delivery durations, utilizing MLOps principles and best practices.
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