Optimizing an ML Pipeline in Azure - A Machine Learning Engineer Project

This project is part of the Udacity Azure ML Nanodegree. In this project, we use Azure to configure a cloud-based machine learning production model, deploy it, and consume it. We also create, publish, and consume a pipeline.

Code for my blog post on deploying a machine learning model with Azure ML Pipelines

An E-commerce website using NLP for search. Created for IEEE RepoReboot 2021 Hackathon

Create and Deploy an ML model using Azure ML Studio and Azure Python SDK.

HR Analytics-Job Change Prediction: In this project, different models are trained to predict whether a current employee will leave the current job for a new company. The best model is deployed as webservice using Azure Container Instance(ACI).

This project is part of the Udacity Azure ML Nanodegree. In this project, we use Azure to configure a cloud-based machine learning production model, deploy it, and consume it. We also create, publish, and consume a pipeline.

Operationalizing Machine Learning in Microsoft Azure - Udacity Machine Learning Engineer with Microsoft Azure Nanodegree Program (Project 2)

Repo for the "Predicting Weather Conditions using a Regression Model in Azure ML Designer" hands-on lab.