evidently
Here are 23 public repositories matching this topic...
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.
-
Updated
Apr 25, 2024 - Jupyter Notebook
Build End to End ML pipeline for USVisa prediction, deploy web App to AWS Ec2 instance using Docker, CI/CD with github actions
-
Updated
Apr 8, 2024 - Jupyter Notebook
Comparison between several Python data profile libraries.
-
Updated
Mar 1, 2024 - HTML
mlops zoomcamp 2023 solutions
-
Updated
Jul 16, 2023 - Jupyter Notebook
-
Updated
Jul 12, 2023 - Jupyter Notebook
Monitoring machine learning models in production using Evidently.
-
Updated
Feb 17, 2023 - Python
This an attempt to predict fraud transactions from a huge collection of records of bank transaction over a period of time.
-
Updated
Jan 19, 2023 - Jupyter Notebook
Learn how to handle model drift and perform test-based model monitoring
-
Updated
Dec 20, 2022 - Jupyter Notebook
Maternal Health Risk prediction MLOps pipeline
-
Updated
Dec 6, 2022 - Python
Development, deployment and monitoring of machine learning models following the best MLOps practices
-
Updated
Nov 18, 2022 - Jupyter Notebook
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.
-
Updated
Sep 12, 2022 - Jupyter Notebook
Final Project of the MLOps Zoomcamp hosted by DataTalksClub.
-
Updated
Sep 12, 2022 - Python
MLOps Zoomcamp hosted by DataTalksClub.
-
Updated
Sep 2, 2022 - HTML
Improve this page
Add a description, image, and links to the evidently topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the evidently topic, visit your repo's landing page and select "manage topics."