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-...
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