Azure Machine Learning | Building & Deploying your First Machine Learning Model | Step By Step Guide
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- Опубликовано: 13 май 2021
- Create your first Machine Learning Model with Azure ML.
Step by Step Guide from scratch.
Dataset used:
raw.githubusercontent.com/Mic...
Curl Command:
$ export AUTH="Primary Key"
$ curl --header "Content-Type: application/json" -H "Authorization: Bearer $AUTH" -d @data.json your_endpoint_URL
Data.json
{
"Inputs": {
"WebServiceInput0": [
{
"PatientID": 183350,
"Pregnancies": 9,
"PlasmaGlucose": 103,
"DiastolicBloodPressure": 78,
"TricepsThickness": 25,
"SerumInsulin": 304,
"BMI": 29.582,
"DiabetesPedigree": 1.283,
"Age": 43,
"Diabetic": 1
}
]
},
"GlobalParameters": {}
}
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Dude, thanks so much for this amazing tutorial. I searched for this information for many hours and kept coming across complete nonsense going off on various tangents that had nothing to do with actually deploying the model as a web service, and Microsoft documentation is so useless. You saved the day my friend!
I'm genuinely delighted to receive your appreciative message, and I'm thrilled to hear that the video was beneficial to you. You've truly brightened my day. Keep up the great work in your learning journey!
@@binodsuman You are a scholar and a gentleman my friend ❤
This is amazing! Thanks for sharing such a wonderful and clear explanation
You made it so simple Sir. Thank you.
Love your sweet and sort comment. Keep Learning !!
good demo.. simply awesome.. the best part you did it on a mac book !
Just Impressive Tutorial 😍😍
Very good one
it won't let me create multiple end points for different experiments. It also doesn't show any error after deploying. When I check end points, I can only see one previously created end point. 2nd end point doesn't show up on the end point lists.
Does the same happens with you too ? please help
When you created the web service pipeline the box to split the data between training and scoring was completely removed. Can you elaborate why you don't need to do this for the that step. Thanks!
But please can you do a video on how to deploy Keras Models in your Jupyter notebook to Azure ML.
Good
I have a doubt, do we need to Label encode or convert all the object type columns to numeric before giving the data for training?
@5:23 to create "Compute Target", is it NOT a paid service?
yes having the same issue, for compute it is showing paid ones and not free ones
thank you for the video, I just need to ask that how can I create this and it work automatically. like If I use a live data then it generate the result by it self without manually in terminal. please can you guide me through that
How to put hostname in place of ipaddress in api url.
can you please share the raw data?
Hello sir have some doubts in some concepts can you help me to give solution
The problem statement is Develop a framework for leveraging machine learning to uncover customer trends and behaviors while adhering to the highest standards of ethical data usage. In today's rapidly evolving business landscape, understanding customer preferences is crucial; however, privacy concerns have taken precedence. We are actively seeking innovative solutions to anonymize user identities within extensive databases, enabling the responsible application of machine learning techniques. Your objective is to construct a robust and privacy-centric framework that enables organizations to extract valuable insights without compromising individual rights.
All you need is a pipeline to gather/scrap data from various data sources and mask the unique identity features of the customers, keeping in mind that it will be used by ML algo to train .