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

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

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

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).

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

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.

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