Basic first project! Azure Machine Learning Easy Getting Starting For Fun and Profit!

🚀 Welcome to our Azure Machine Learning tutorial series! In this video, we'll guide you through the process of building a regression model to predict automobile prices using Azure Machine Learning Designer.

🔹 In this hands-on tutorial, you'll learn how to:
- Create an Azure Machine Learning workspace
- Set up compute clusters for model training
- Explore and transform the dataset for optimal results
- Train a regression model to predict automobile prices
- Evaluate the model's performance using key metrics
- Create an inference pipeline for real-time price prediction
- Deploy the trained model as a web service using Azure Container Instance

🔹 This tutorial is perfect for beginners and data enthusiasts who want to get started with Azure Machine Learning. No prior coding experience is required, and we'll guide you through each step with clear explanations and examples.

🎓 Ready to level up your data science skills? Watch the video and follow along with our step-by-step guide to explore the power of Azure Machine Learning for regression tasks.

👍 If you find this tutorial helpful, don't forget to hit the like button and subscribe to our channel for more exciting Azure tutorials and data science content.

🔔 Turn on the notification bell so you don't miss any future updates! Let's dive into the world of data science with Azure Machine Learning!

#AzureMachineLearning #RegressionModel #DataScienceTutorial #MachineLearningTutorial #azuretutorialforbeginners

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Timestamps:

00:00 - Intro
00:59 - Whiteboard Overview
17:30 - Machine Learning demo
21:00 - Cleaning data for input
27:01 - Splitting data for training and testing
31:10 - Testing our model
38:00 - Deploying a model to an endpoint
41:00 - Using the model to predict prices
44:20 - Outtro #Like and Sub!

[milorad]

Thank you, Mike. This video is a great addition to the Azure AI Fundamentals course, especially for the module on the fundamentals of machine learning.

[Nigromantiano]

Thanks for the video and the explanation. Very useful.

May I ask how to deploy the model in an interactive web app so different users can interact with it via slicers or buttons??

[snehamanasa]

while trying to test the deployment, It is saying that The deployment is based on v1 API and doesn't support testing on the Studio. How can I rectify this?

[warmcloud]

Do you wait for long time on select Columns in Dataset? I have waited for 15 minutes and it is still running on selecte columns in Dataset

[Theppo]

Any chance you could just paste the CSV you used at 34:40?
You posted the URL where to get the data, and with limited experience with Python, it was a hassle to get the data.
I did manage to extract it eventually, but even then, it seems not all columns work out of the bat.
I selected a small subset of data, and it gives me this when it comes to scoring the model:

Columns 'num-of-cylinders, num-of-doors' are incompatible between train and test data.
I suppose this could be fixed with simple normalization of the data in between that step and the selection of columns, but I think it would be good to go over that.

Otherwise it was a very good video and very informative!

[leztat]

Do you know how Can I upload my own Dataset? When I try to upload using the Data option in the asset section, it uploads a Data Asset not a dataset, any idea?

[Minidrako]

Excuse me, in min 34:40, when you input data from csv, where/how did u get that data? i guess is downloaded from before? but didnt understand where nor what nor how to download

[kevinwu]

Hi can you post the test data and Python script? Thanks

[austinkuo]

Hi we are testing the performance of API, it take avg 700ms for one call, we try to add more cpu/memory. Do you have any idea how to upscale?

[RenatoDomingues]

I've been trying to follow your tutorial, but after the first Data Transformation, such as Select Columns, it is impossible to make the columns list appera on a second transformation such as Cleaning Missing Data. I just keep getting the message: Autosuggestion only works if upstream node is a data node and schema exists for that data. The modules are connected, but it does not work. In classic Machine Learning Studio it worked smoothly. Also, if I used and runned Select Columns, I could preview the new dataset, wich I can no longer.

[AjayGupta-bchb]

Hey Mike, can you please upload the that notepad where you have entered raw data again at 34:55 as per the timeline.
I am following all your steps, just missing the data.

[-wx]

hi can i know how much does it cost to do the whole process

[chinwevivianaliyu]

no preview datga buttom at the score and evaluate model boxes

[abhin]

I unable to preview the data can anyone help

[senalweerasekara]

YOU FORGOT TO ENCODE YOUR CATEGORICAL COLUMNS.

[sarkiskassounian]

How can I troubleshoot an unhealthy endpoint?

[Minidrako]

Great vídeo but such a psycho way of writing an "x" 2:17