Found 560 repositories(showing 30)
srijiths
Create a fully automated, end-to-end IRIS Training and Deployment using Azure MLOps
pedrozanlorensi
A simple end-to-end example of a Databricks MLOps project that uses the Iris Dataset.
databricks-solutions
A quickstart MLOps example that uses the Iris Dataset.
This project demonstrates a basic MLOps pipeline using Docker, Kubernetes, and Pyenv to manage Python environments. It includes a classification model trained with the Iris dataset.
realAngryAnalytics
simple project to demonstrate MLOps workflow
zjesko
ML-Ops demo using a FastAPI application
saikrithik
MLOps IRIS Dataset CI/CD Pipeline
minhdangnguyenn
This project demonstrates MLOps principles by building and deploying an Iris Classification API using FastAPI, Docker, and Machine Learning. The API allows users to send feature inputs and receive predictions based on the Iris dataset.ned on the class
Mahdi-Ghorbel-10
No description available
Hamzaishappy786
MLOps Assignment 1: Iris flower classification with Logistic Regression, SVM, and KNN. Includes MLflow tracking (UI, metrics, artifacts).
madhureddy18
No description available
PGCSEDS-IIITH
ML-Ops demo using a FastAPI application
EkaterinaVZ
No description available
abdelmageed95
This repo has the code files needed for the MLOps CI/CD implementaton.
vijaymannava
mlops-iris-master-fastapi practice
ainomic
MLOps implementation using IRIS dataset as a practice dataset
harsh-priyam
No description available
saberamri
No description available
RashmikaRamkumar
No description available
LORD-MODH
No description available
Mayankvlog
Iris Flower Forecast App Integrated with MLOps A bright app that can identify the species of iris flowers. includes model selection, tracking of MLflow, user interaction, and visualizations. ML development and tracking may be done collaboratively using the [DAGsHub Repository](https://dagshub.com/Mayankvlog/iris_ok.mlflow)
TR1ST4N226
Simple MLOps CI/CD pipeline for an Iris classification model.
rijalghodi
A simple MLOps for auto deploying iris machine learning model
vek199
No description available
esratt
Iris veri seti üzerinde veri ön işleme, özellik oluşturma, model eğitimi ve optimizasyonu yapan tam MLOps akışı.
akramshuja
Build, Track, Package, Deploy and Monitor an ML Model using MLOps Best Practices
Ch3rry-Pi3-AI
No description available
mateenyaqoob
Activity based on Docker Compose
ozanoakblt
This project is a machine learning application that classifies Iris flower species using the Naive Bayes algorithm. The model is served via FastAPI and predicts based on sepal and petal measurements entered by the user through a Bootstrap-based web interface. The dataset is sourced from Kaggle - Iris Species.
shivtechcrafts-sketchx
No description available