I\'ve just started to experiment with AWS SageMaker and would like to load data from an S3 bucket into a pandas dataframe in my SageMaker python jupyter notebook for analysi
import boto3 import pandas as pd from sagemaker import get_execution_role role = get_execution_role() bucket='my-bucket' data_key = 'train.csv' data_location = 's3://{}/{}'.format(bucket, data_key) pd.read_csv(data_location)