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Here’s this weeks lineup of data-driven articles, stories, and resources ranging across the broad field of data science while offering value to both beginners and experienced practitioners alike. If you would like this newsletter delivered to your inbox each week, then go ahead and subscribe. Enjoy!
How to Build a Data Science Portfolio
There’s a lot of posts like this out there, but this one stands out. It leverages information directly from data science managers and recruiters for optimizing your portfolio and getting noticed.
What Pandas and SQL Taught Me About Taking an Average
This talk is simple enough to hook you and thought-provoking enough to keep you around for the full ~25 minutes. It covers averaging multidimensional data and some common pitfalls.
How Docker Can Help You Become A More Effective Data Scientist
Everyone seems to be jumping on the Docker bandwagon, and for good reason. Docker offers lightweight virtual machines that contain everything you to recreate your compute set-up.
Machine Learning Done Wrong
Statistical modeling is a lot more like engineering than you think. In engineering, there are various ways to do things but few correct ones. Check out some common mistakes in ML.
Data Science Career Resources
Lastly, I’ve been working on open-sourcing my experience becoming a Data Scientist. This repo contains general advice, interview resources, tutorials, internships, and more.
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Thanks for reading and have a great day!
Self Driven Data Science - Revue
Self Driven Data Science — Issue #55 was originally published in Hacker Noon on Medium, where people are continuing the conversation by highlighting and responding to this story.
Disclaimer
The views and opinions expressed in this article are solely those of the authors and do not reflect the views of Bitcoin Insider. Every investment and trading move involves risk - this is especially true for cryptocurrencies given their volatility. We strongly advise our readers to conduct their own research when making a decision.