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RubyAudit: Tirelessly auditing Ruby and RubyGems so you don’t have to

RubyAudit: Tirelessly auditing Ruby and RubyGems so you don’t have to

by Jeff C.

Security is hard. You’re busy writing code, but you also want to keep your application secure, so you’re doing double-duty developing new features and keeping an eye on vulnerabilities. You follow Hacker News and Reddit, but you know any good security strategy revolves around defense in depth, and you’re looking to add additional, automated tiers to help keep an eye...

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Data Science on State of the Union Addresses: Obama (2016) vs. Obama (2015) vs. … vs. George Washington (1790)

Data Science on State of the Union Addresses: Obama (2016) vs. Obama (2015) vs. … vs. George Washington (1790)

by Michael H.

Barack Obama recently gave his final State of the Union address, and since we’re interested in analyzing text data at Civis Analytics, I figured I ought to see if I could discover anything interesting. Rather than trying to understand the conversation on social media as we’ve done in previous work, I decided to take a somewhat longer view, comparing the...

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Connect the Civis Platform to Google Sheets: Let Your Drive Be Part of Your Data-Driven Culture

Connect the Civis Platform to Google Sheets: Let Your Drive Be Part of Your Data-Driven Culture

by Civis Analytics

Civis Analytics helps organizations across sectors use data science to improve outcomes. While working across multiple engagements and sectors, we’ve determined the most successful organizations invite their entire team to participate in building a data-driven culture by setting every employee’s sights on central metrics. Many of these successful organizations complement big data with Google Sheets, as they allow employees outside...

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Workflows in Python: Using Pipeline and GridSearchCV for More Compact and Comprehensive Code

Workflows in Python: Using Pipeline and GridSearchCV for More Compact and Comprehensive Code

by Katie M.

The last two posts in this series have been about getting a data science analysis quickly up and running, and then circling back to improve it or understand the patterns I find, for example, which algorithms are working best and why. The upshot was a better handle on my workflow, but I’m left with a lot of free parameters of...

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The Republican Primary So Far, in One GIF

The Republican Primary So Far, in One GIF

by Nick A.

Today, the New York Times featured some of our polling data and proprietary algorithm results and their implications for the Republican primary race ““ a mostly under-the-hood look at Donald Trump’s coalition. We wanted to give a bit of a different look at the same data at a local level, showing how support for the Republican candidates has changed over...

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Workflows in Python: Curating Features and Thinking Scientifically about Algorithms

Workflows in Python: Curating Features and Thinking Scientifically about Algorithms

by Katie M.

This is the second post in a series about end-to-end data analysis in Python using scikit-learn Pipeline and GridSearchCV. In the first post, I got my data formatted for machine learning by encoding string features as integers, and then used the data to build several different models. I got things running really fast, which is great, but at the cost...

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Workflows in Python: Getting data ready to build models

Workflows in Python: Getting data ready to build models

by Katie M.

A couple of weeks ago, I had the opportunity to host a workshop at the Open Data Science Conference in San Francisco. During the workshop, I shared the process of rapid prototyping followed by iterating on the model I’ve built. When I’m building a machine learning model in scikit-learn, I usually don’t know exactly what my final model will look...

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Our way of giving back for Giving Tuesday: Nonprofits, Ask America Anything!

Our way of giving back for Giving Tuesday: Nonprofits, Ask America Anything!

by Ashley L.

In 2013, I was a disgruntled graduate student (is there any other kind?) fantasizing about leaving academia for the “real world” when I read this New York Times article about companies born out of the Obama campaign. One sentence, about Civis Analytics’ work with The College Board, stuck out to me– “Civis will identify ‘kids who are low-income, high-achieving but...

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Civis Analytics & The Practical Innovator: A look back at how we’ve strategically grown

Civis Analytics & The Practical Innovator: A look back at how we’ve strategically grown

by Chris G.

Last month, I had the privilege of attending The Practical Innovator, a day-long executive education program hosted at Northwestern’s Kellogg School of Management. I was generously invited by virtue of our company’s selection as a Top 100 Finalist for the 2015 Chicago Innovation Awards, for which Civis Analytics had advanced out of more than 500 nominees. The Practical Innovator featured...

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