Content is not my own but taken from the publicly accessible website workshops.aws. You can follow along but please be aware that these activities may incur charges. Please see the Amazon SageMaker Canvas and Amazon S3 pricing pages for more details.

Disclaimer: views and opinions are my own and do not represent AWS.

Links:
- All workshops: [ Ссылка ]
- Customer churn workshop instructions: search for SageMaker Canvas on the above link or visit [ Ссылка ]
- Blog post referenced for an example of data leakage: [ Ссылка ]

Time Stamps
0:00 — Intro
0:34 - Lab 1 - Customer Churn (Marketing)
1:26 - Overview
3:52 - Import the dataset in Canvas
5:03 - Building the ML model
6:31 - Build: data exploration
11:02 - Build: model preview
16:52 - Build: data preparation
23:08 - Train the ML model
28:55 - Using the model to generate predictions
30:54 - Outro

It’s easy to get started with #ml when you can just follow along with a hands-on lab that has no code! Amazon SageMaker Canvas has a few tutorials on [ Ссылка ] where you can just follow along the instructions.

For the audititive 👂 learners out there, like me, I posted myself talking through the steps as I do the customer churn prediction lab.

I didn’t make these labs…just reading out loud and following along in my spare study time 🤓

Study with me?

#machinelearning #BinaryClassification #AI #lowcodenocode #martech

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