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

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MLOps project Training and Deployment of Churn prediction model

Handbook for putting applications in the cloud referencing DS and ML paradigms.

Complete end-to-end MLOps implementation for training, maintaining and monitoring a machine learning model that predicts droughts.

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

End to End MLOps Project - Customer Churn Prediction

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.

Binary classification model for predicting diagnosis of asthma

This is the repository of my study in MLOps Zoomcamp from DataTalksClub.

This repository holds all the project files belongs to a Kidney diesease classification application which takes x-rays images and classify the image as dieseased or healthy by using Deep learning CNN classification techniques.

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.

Forecasting GDP for IMF member countries

Predictive maintenance can help companies minimize downtime, reduce repair costs, and improve operational efficiency. Developing a web application for predictive maintenance can provide users with real-time insights into equipment performance, enabling proactive maintenance, and reducing unplanned downtime.

Data version control with Makefile and DVC

Project of deploying ML and MLOps