The repository contains a list of projects and notebooks which I have worked on while taking the course MLOps Zoomcamp.
1. MLOPS PRE-REQUISITES
The repository contains information about python script, flask app, querying using requests, docker, elastic beanstalk and model deployment.
2. MLOPS INTRODUCTION
The repository contains information about linear regression model & mlops maturity level.
3. EXPERIMENTAL TRACKING AND MODEL MANAGEMENT
The repository contains information about experimental tracking, mlflow, model registry, mlflow client and hyperparameters tuning.
4. MLOPS ORCHESTRATION
The repository contains information and implementation about MLOps Workflow Orchestration with Prefect and MLFlow.
5. MODEL DEPLOYMENT
The repository contains information and implementation about Model Deployment using Web services such as Flask & Docker, Model Registry and MLflow, Batch Model Deployment & Scheduling Batch Jobs with Prefect.
6. MODEL MONITORING
The repository contains information and implementation about Model Deployment using Evidently, Grafana, and Prometheus.