Introducing Auto ML with Python and the Azure ML SDK

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Let's explore what a sample usage of the Azure ML Python SDK looks like and how you can use Python and Azure Machine Learning Studio to track and version datasets and machine learning models, discover new models that perform well with your data, evaluate those models, and deploy them as a web service - all without having to leave your IDE.

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Dude I have learned more from you about ML in a few hours watching your videos than I have in the past 2 months trying to figure it out other ways.

kevindibb

Thanks Matt, would you be able to do the same example using SDK v2 please?
Having a nightmare that job throwing some mltable yaml error. But all settings are same and its working fine with SDK v1.

shivaranabhat

Hey, when I try to check the steps in your videos for Azure Studio but also Azure Machine Learning Studio, I cannot see the same interfaces. For instance, I cannot find a panel where can I download the config.json file. Are there major updates in the azure interface, or does it have to do with my account?

christosathanasiadis

-- Runtime Error --
Hi, went thought ur article and landed up here.

Error is: AttributeError: 'NoneType' object has no attribute 'id'
Code Line: service = Model.deploy(ws, "classification-endpoint-name", [automl_model], inference_config, deployment_config, overwrite=True)

Debug issues fixed.

'Model' is not defiled. so did this
from azureml.core import Model

laliths

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