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Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

Home Page: https://sagemaker-examples.readthedocs.io

License: Apache License 2.0

Jupyter Notebook 80.55% HTML 0.52% Python 16.02% R 0.08% Shell 0.54% Dockerfile 0.25% Java 0.03% C 0.01% Roff 2.01% JSONiq 0.01% Makefile 0.01% JavaScript 0.01% Batchfile 0.01%

amazon-sagemaker-examples's Introduction

Hi, I'm Bhihsan ๐Ÿ‘‹ I'm a ๐Ÿš€ Data Scientist ๐Ÿš€ I have a Ph.D in Physics.

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ABOUT ME:

โœฑ I am currently working as Data Scientis II in AmerisourceBergen company. โœฑ I have been working on AdminFee calculation and Rebate analysis of the customers of the company. โœฑ I have Masters and Ph.D degree in AstroPhysics from Ohio University USA.
โœฑ As a Masters student in 2014, I designed and maintained astronomical image processing module jedisim.
โœฑ This project taught me the concepts of OOP, GitHub version control, continuous integration, unit testing, code debugging, documentation (Sphinx and ReadTheDocs) and various other software development skills.

โœฑ During my 6 years of Masters + Ph.D. program and doing multiple MOOC courses, to facilitate my day-to-day data science tasks, I developed my own python package (bp) which extends pandas API and includes extensive visualization snippets, data analysis, machine learning, statistical tests and timeseries methods.

โœฑ I'm a passionate learner who's always willing to learn and work across technologies and domains ๐Ÿ’ก.
โœฑ I love to explore new technologies and leverage them to solve real-life problems. โœจI used latest methods to achieve the 12th rank on Analytics Vidhya Sentiment Analysis Project among thousands of participants.

amazon-sagemaker-examples's People

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