🌎 🚙📚 Predicting travel times and traffic density on a highway in Slovenia
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Updated
Jun 19, 2024 - CSS
🌎 🚙📚 Predicting travel times and traffic density on a highway in Slovenia
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.
Build End to End ML pipeline for USVisa prediction, deploy web App to AWS Ec2 instance using Docker, CI/CD with github actions
Comparison between several Python data profile libraries.
mlops zoomcamp 2023 solutions
Monitoring machine learning models in production using Evidently.
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
Maternal Health Risk prediction MLOps pipeline
Development, deployment and monitoring of machine learning models following the best MLOps practices
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.
Final Project of the MLOps Zoomcamp hosted by DataTalksClub.
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