adding an example for Linear Learner regression use case

[eng-moataz]

Issue #, if available:

Description of changes:
This is a Jupyter notebook to explain how to use Amazon SageMaker Linear Learner algorithm to solve regression use case using abalone data-set. It also demonstrate how we can use the algorithm with input files of csv format.

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[paul-cb]

Thanks @eng-moataz!
After running this notebook using the Python 3 (Data Science) Kernel, I get the following error on the cell [6]

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-6-5772296d51b7> in <module>
      8 
      9 #genrating the session.s3_input() format for fit() accepted by the sdk
---> 10 train_data = sagemaker.session.s3_input(s3_train_data, distribution='FullyReplicated', 
     11                         content_type='text/csv', s3_data_type='S3Prefix',record_wrapping=None,compression=None)
     12 validation_data = sagemaker.session.s3_input(s3_validation_data, distribution='FullyReplicated', 

AttributeError: module 'sagemaker.session' has no attribute 's3_input'

[eng-moataz]

I created this pull request instead as this one is obsolete now and I used sagemaker sdk version 2 which will resolve this issue

[paul-cb]

Closing this PR because this one replaces it: #1622