Aircraft components are susceptible to degradation, which affects directly their reliability and performance. This machine learning project will be directed to provide a framework for predicting the aircraft’s remaining useful life (RUL) based on the entire life cycle data in order to provide the necessary maintenance behavior.

Deploying an end-to-end ml/dl model (for predicting maintaince for aircrafts by using dataset provided by NASA) into cloud server using Flask and Docker with CI/CD pipeline

This project focuses on predicting wine quality using regression models.

End to End Data science workflow for Car Price prediction

A Proof of concept of the entire workflow to develope an End To End MLOPS Data Science Project with API UI user stress test, Implementation With Deployment for a Winery dataset ~Kokke

An end-to-end machine learning project with MLflow(MLOps Tool for Experiment Tracking and Model Registration) - Wine Quality Predictor

End to End MLops with Mlflow project with Github actions and docker image

This is advance machine learning operation pipelines integrated with MLflow to monitor artifacts and metrices. Deployed in AWS via CICD GitHub Actions.