Build, Train and Tune two Machine Learning models on SageMaker Canvas, from scratch! - New Workshop!

Hey there CloudWolves!

Are you ready for our brand new AI in the Cloud workshop? This one is epic and you will learn so much!

In this new lab we will build, train and tune two SOTA Machine Learning models on Amazon SageMaker Canvas, one for Regression, and another one for Classification.

Amazon SageMaker Canvas gives you the ability to use machine learning to generate predictions without needing to write any code. The following are some use cases where you can use SageMaker Canvas:

Predict customer churn
Plan inventory efficiently
Optimize price and revenue
Improve on-time deliveries
Classify text or images based on custom categories
Identify objects and text in images
Extract information from documents

Prerequisites for this lab: Make sure you have an AWS account set up. Also just as a refresher, I recommend watching the brand new SageMaker tutorials of the Data Science in the Cloud course in our CloudWolf platform.

Please find the dataset folder for this lab (Datasets.zip) in our CloudWolf platform.

Looking forward to doing our new CloudWolf lab together!

Here are the timestamps of the video:

0:00 Welcome!
1:20 Setting up your SageMaker domain
2:10 Adding a user profile
3:55 Launching Canvas
5:10 Overview of Canvas
7:25 Importing the data
9:15 Building, Training and Tuning the Regression model
19:30 Building, Training and Tuning the Classification model
31:00 Final Cleanup

Cheers,
Hadelin

More workshops and courses available here: https://community.cloudwolf.com/check...

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