Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

End to end machine leanring project: This repository serves as a simplified guide to help you grasp the fundamentals of MLOps.

Automated pipeline for energy consumption forecasting across Europe using Azure cloud and Databricks.

An end-to-end MLOps pipeline(CI/CD/CT/CM) project for training, versioning, deploying, and monitoring machine learning models using FastAPI, Kubernetes, MLflow, DVC, Prometheus, and Grafana.

An application for violent threat detection

Data version control with Makefile and DVC

This web application utilizes cutting-edge artificial intelligence to help people understand their risk of developing kidney disease. Developed with user-friendliness in mind, this tool allows individuals to easily enter their information and receive a personalized risk assessment.

A repository for Customer Satisfaction ML project 🚀. Using the power of Zenml, this repo ensures seamless integration of Machine Learning Operations.🤖

An application for violent threat detection

This is an End to End MLOps Integrated implementation of my previous app Home Price Index Predictor.

Exploring Zen ML

Uncover the secrets of deploying ML models in production with this tutorial. Leveraging the Titanic dataset, learn the ins and outs of transitioning from research to production. Master modularization, code standards, and scalability for successful machine learning deployments.

Its main goal wasn't to develop the solution with the best accuracy among others developed by Kaggle's community but rather to understand the applicability of the MLflow framework and how to use it to track different models during the training and evaluation steps, while also learning about the model's versioning and registry.

An opensource automated MLOps library for MLFlow in python.

In this repository, I guide you through deploying a Machine Learning project, specifically the Loan Approval Classifier, on Azure Cloud. Explore the entire process, from building the classifier codebase to seamless deployment. Dive into comprehensive steps, leveraging Azure Cloud for a robust machine learning solution. Let's empower your projects .

Predicting how a customer will feel about a product before they even ordered it.