anshumaan031/aws-sagemaker_for-_ml

AWS Sagemaker

Amazon SageMaker is a managed service in the Amazon Web Services (AWS) public cloud. It provides the tools to build, train and deploy machine learning (ML) models for predictive analytics applications. The platform automates the tedious work of building a production-ready artificial intelligence (AI) pipeline.

Create Free Tier AWS Account: https://aws.amazon.com/free/?all-free...

Make sure to import boto3 and sagemaker

S3 Bucket

What is bucket in S3? A bucket is a container for objects stored in Amazon S3. You can store any number of objects in a bucket and can have up to 100 buckets in your account. To request an increase, visit the Service Quotas Console . Every object is contained in a bucket.

The model will be deployed as an endpoint, using test and train data stored in S3 bucket instances.

Documentations

AWS

S3

Xgboost

Author

• @Anshumaan031 - [email protected]