Sagemaker Tutorial - 1 | Build a Sklearn Model with AWS Sagemaker & Custom Training Script

Hello, Guys, I am Spidy. I am back with another video.

In this video, I am explaining "How you can deploy your custom Sklearn model into the AWS Sagemaker"

Steps that we followed -
1. Initialize Boto3 SDK and create S3 bucket.
2. Upload data in Sagemaker Local Storage.
3. Data Exploration and Understanding.
4. Split the data into Train/Test CSV File.
5. Upload data into the S3 Bucket.
6. Create a Training Script
7. Train script inside Sagemaker container.
8. Store Model Artifacts(model.tar.gz) into the S3 Bucket.
9. Deploy Sagemaker Endpoint(API) for the trained model, and test it.

Code ► https://github.com/Spidy20/Sagemaker-Tutorials

AWS Tutorials ► https://youtube.com/playlist?list=PLsT53VV2LIIGnKRdYHMo-KO9uQcIhbFPs

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Note: If you want me to solve your errors and make the project run into the system, I will do it using a remote desktop, and it will be paid. You can reach me at [email protected] for your queries.

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