Data Science Archives | Page 4 of 6 | Civis Analytics

Category Data Science

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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Data Storytelling and Feature Creation

Data Storytelling and Feature Creation

by Civis Analytics

Employees at Civis have many interests; three at the top of the list are data, Chicago and biking to work. At the intersection of those three is the Divvy dataset, which details some of the rider information for the Chicago bicycle-sharing program. It is a fun dataset to play around with, even if it has a limited number of fields....

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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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Data Best Practices for Nonprofit Leaders

Data Best Practices for Nonprofit Leaders

by Ola T.

Since joining Civis Analytics this year, I’ve had the opportunity to work with different organizations through our nonprofit practice area. Civis’s commitment to doing work that has a positive social impact””including our significant involvement with nonprofits like the Gates Foundation, Enroll America, and the American Red Cross””was one of the reasons I chose to work here. We often find that...

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Republican Primary Poll: August 10-19, 2015

Republican Primary Poll: August 10-19, 2015

by Civis Analytics

As featured in the New York Times, the Civis Analytics Research Team conducted a survey of the Republican Primary of 757 self-identified Republican or Republican-leaning adults across the country. You can read more about our findings in Why Donald Trump Won’t Fold: Polls and People Speak by Michael Barbaro, Nate Cohn, and Jeremy W. Peters from Sunday August 23, 2015...

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