TalksRepository of publicly available talks by Leon Eyrich Jessen, PhD. Talks cover Data Science and R in the context of research
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data-science-best-practicesThe goal of this repository is to enable data scientists and ML engineers to develop data science use cases and making it ready for production use. This means focusing on the versioning, scalability, monitoring and engineering of the solution.
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Awesome Python Scripts🚀 Curated collection of Awesome Python Scripts which will make you go wow. Dive into this world of 360+ scripts. Feel free to contribute. Show your support by ✨this repository.
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ForgetMeNotA flashcard app for Android.
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pylifea general library for fatigue and reliability
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lumberjackTrack changes in data with ease
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AnubisDistributed LMS for automating Computing Science Courses From NYU
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zen-signals☯ The simplest signal library possible
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project-omegaA collection of non-trivial coding problems to improve software engineering skills.
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rapid-routerA Blockly and python based educational game aimed at students age 5-14.
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MainManagement materials and content
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resourcesБесплатный образовательный контент, созданный и отобранный профессионалами
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genstarGeneration of Synthetic Populations Library
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fhq-serverThis is an open source platform for competitions of computer security.
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EduDataEdudata: Datasets in Education and convenient interface for downloading and preprocessing dataset in education
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xlinesX lines of Python
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nl4dvA python toolkit to create Visualizations (Vis) using natural language (NL) or add an NL interface to existing Vis.
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wikonnectWikonnect seeks to bridge the digital divide through the provision of digital literacy skills. Management support through Asha (www.asha.io).
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stupidbThe stupidest database of all time.
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dstyet another custom data science template via cookiecutter
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CollegeCompendium📓 A curated collection of free public Computer Science classes from colleges across America
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ji.py吉.py
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legesherBecause language shouldn't be a barrier to code
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google-guide-to-technical-developmentThis guide provides tips and resources to help you develop your technical skills (academically and non-academically) through self-paced, hands-on learning. This guide is intended for Computer Science students seeking an internship or university grad role at Google.
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