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Hacktoberfest At Civis

by Elizabeth S.

Many of the best tools for data science workflows are open source and community-maintained. Tools such as scikit-learn, pandas, and numpy in Python, as well as dplyr and ggplot2 in R, are basic building blocks for almost all data scientists in industry and academia today. At Civis, not only do we rely on these tools to build our data science...

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Civis Bookshelf: Food stamp timing, pandas, image synthesis, and Reddit politics

by Ali V.

This post is part of our Bookshelf series organized by the Data Science R&D department at Civis Analytics. In this series, Civis data scientists share links to interesting software tools, blog posts, scientific articles, and other things that they have read about recently, along with a little commentary about why these things are worth checking out. Are you reading anything...

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Open Sourcing the Civis Data Science API Client for R

Open Sourcing the Civis Data Science API Client for R

by Keith I.

It’s frustrating to reinvent the wheel just to do basic data science. We’ve experienced that here at Civis, which is why we’re always automating these tasks by adding them to the Civis Data Science API. By coding with the Data Science API, you can take advantage of everything Civis Platform can do, including our favorite data science workflows, like CivisML...

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Civis Bookshelf: Fairness Modeling, Creating a Hurricane Graph & More

by Henry H.

This post is part of our Bookshelf series organized by the Data Science R&D department at Civis Analytics. In this series, Civis data scientists share links to interesting software tools, blog posts, scientific articles, and other things that they have read about recently, along with a little commentary about why these things are worth checking out. Are you reading anything...

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Moving from exploration to production with Notebooks and Scripts

by Marshall M.

When it comes to data science code, there are two sides to the story. There’s the part where you do the exploratory science — and there’s the part where you put it in production. Last month, we announced that Civis Platform now allows data scientists to work in Jupyter notebooks, which is all about making data science exploration scalable, shareable,...

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The People Behind the People Science: Intern Edition

The People Behind the People Science: Intern Edition

by Nollie B.

Summer in Chicago means warm weather, food trucks, patio season, and a festival for every occasion. At Civis, summer means welcoming a handful of talented students from across the country. Over the course of 10 weeks, Civis’ summer interns work closely with a mentor in various departments, like Applied Data Science, Research and Development, Product, and Engineering. While here, they...

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Civis Bookshelf: Modeling to predict sarcasm with emoji

by Keith I.

This post is part of our Bookshelf series organized by the Data Science R&D department at Civis Analytics. In this series, Civis data scientists share links to interesting software tools, blog posts, scientific articles, and other things that they have read about recently, along with a little commentary about why these things are worth checking out. Are you reading anything...

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Q&A with the JDRF Illinois Chapter: Using Data to Diversify and Grow the Nonprofit’s Supporter Base

by Ola T.

As part of the nonprofit team at Civis, I have the opportunity to help mission-driven organizations work more effectively using data. Working with the JDRF Illinois Chapter was no different. JDRF is the leading global organization funding type 1 diabetes research, with a mission to accelerate life-changing breakthroughs to cure, prevent and treat T1D and its complications. JDRF’s grassroots approach...

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Civis Bookshelf: What’s Growing Faster — Python or R?

by Peter S.

This post is part of our Bookshelf series organized by the Data Science R&D department at Civis Analytics. In this series, Civis data scientists share links to interesting software tools, blog posts, scientific articles, and other things that they have read about recently, along with a little commentary about why these things are worth checking out. Are you reading anything...

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Fairness in Data Science

by Henry H.

Here at Civis, we build a lot of models. Most of the time we’re modeling people and their behavior because that’s what we’re particularly good at, but we’re hardly the only ones doing this — as we enter the age of “big data” more and more industries are applying machine learning techniques to drive person-level decision-making. This comes with exciting...

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