smlambdaworkshop

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Solves issue #2

tlelson

Running the following cell in [sms_spam_classifier_mxnet.ipynb](./training/sms_spam_classifier_mxnet.ipynb) notebook errors: ```python from sagemaker.mxnet import MXNet output_path = 's3://{0}/{1}/output'.format(bucket_name, bucket_key_prefix) code_location = 's3://{0}/{1}/code'.format(bucket_name, bucket_key_prefix) m = MXNet('sms_spam_classifier_mxnet_script.py', role=role, train_instance_count=1, train_instance_type='ml.c5.2xlarge', output_path=output_path, base_job_name='sms-spam-classifier-mxnet', framework_version=1.2,...

tlelson

Very nice workshop! Could be helpful to add cleanup instructions, as this is often nontrivial.

glikson