orejah Goto Github PK
Name: Tech Thriver
Type: User
Bio: I'm passionate about technology, and I'm really enthusiastic about deploying machine learning models into production.
Twitter: AOrejah
Location: LAGOS, NIGERIA
Name: Tech Thriver
Type: User
Bio: I'm passionate about technology, and I'm really enthusiastic about deploying machine learning models into production.
Twitter: AOrejah
Location: LAGOS, NIGERIA
This pneumonia detection project was supervised by Dr. T.J Odule of Department of Mathematical Sciences, Olabisi Onanbanjo University.
This project demonstrate the ability to use an external dataset in azure workspace, train a model using the different tools available in the AzureML framework as well as the ability to deploy the model as a web service.
In this project, I will continue to work with the Bank Marketing dataset. I will use Azure to configure a cloud-based machine learning production model, deploy it, and consume it. I will also create, publish, and consume a pipeline. This is the second project of the Udacity nanodegree program for Machine Learning Engineer with Microsoft Azure
In this project, we build and optimize an Azure ML pipeline using the Python SDK and a provided Scikit-learn model. This model is then compared to an Azure AutoML run. This is the first project of Udacity's nanodegree program in the Machine learning engineer with Microsoft Azure
My clone repository
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