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What are some examples of machine learning in SageMaker?
Train a model to predict household energy consumption patterns and evaluate the results. Plagiarism Detector: Build an end-to-end plagiarism classification model. Apply your skills to clean data, extract meaningful features, and deploy a plagiarism classifier in SageMaker.
Which is the best project to learn AWS SageMaker?
Project #6: Deep Dive in AWS SageMaker Studio, AutoML, and model debugging. The course is targeted towards beginner developers and data scientists wanting to get fundamental understanding of AWS SageMaker and solve real world challenging problems. Basic knowledge of Machine Learning, python programming and AWS cloud is recommended.
How to create a new role in SageMaker?
Log in to the AWS console and go to the SageMaker dashboard. Click on 'Create notebook instance'. The notebook name can be anything and using ml.t2.medium is a good idea as it is covered under the free tier. For the role, creating a new role works fine. Using the default options is also okay.
How to build plagiarism classifier in SageMaker?
Plagiarism Detector: Build an end-to-end plagiarism classification model. Apply your skills to clean data, extract meaningful features, and deploy a plagiarism classifier in SageMaker. The notebooks provided in this repository are intended to be executed using Amazon's SageMaker platform.
Last Update: Oct 2021
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