Data science night archives

November 2018

Download introductory talk (announcements)
Download slides of talk (Introduction to Machine Learning)

Thanks to Nicholas Wagner and Abhijith Gopakumar for their great talk "Introduction to Machine Learning". Thanks to project leaders: Jordan Nelson, Ole Hexel, Dan Gifford, Ramya Gurunathan, Suman Bhandari, and many others working on their own or in small groups!
October 2018
Download introductory slides

Thanks to project leaders: Dan Gifford, Andrew Hall, Nick Warner, Thomas Stoeger, and many other individual working on their own or in small groups!
July 2018
Thank you to Christie Nothelfer for her nice talk on "Vision Science in Data Visualization" and Prof. Suzan van Der Lee for leading a session on hacking into environmental sensors.
June 2018
Download introductory slides

Thank you to our presenter, Caroline Groth, PostDoc in Preventive Medicine, for her talk on "Bayesian Measurement Error and Bayesian Informative Missingness Methods" and for the subsequent tutorial.
May 2018
Download introductory slides 

Thank you to our presenter, Pantelis Loupos, a graduate student in Operations Management, for his talk on "Starting Cold: The Power of Social Networks in Predicting Non-Contractual Customer Behavior" (download slides here)

Thank you to our breakout group leaders:

​Jason Chain  and Rebecca Harmon for continuing their group on the comparison between the salaries and supplemental earnings of employees of the city of Chicago.
Thomas Stoeger for spearheading the start of a deep learning group

Ramya Gurunathan (and Ali Ehlen) for leading a k-means cluster analysis of FiveThirtyEight hate crime data by state
April 2018
Download introductory slides 

Thank you to our presenter, Kat Albrecht, a graduate student in the sociology department, for her talk on "Fundamental Data Science to Study Social Problems"

Thank you to our breakout group leaders!
February 2018
Download introductory slides 

This month was a hacking-only night. Thank you to our breakout group leaders:​
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Laura Derenge for giving an overview of Tableau.

Damiano Fantini and Luca Lonini for continuing their regular learning group surrounding Kaggle, which seems to move towards deep-learning.

​Jason Chain  and Rebecca Harmon for continuing their group on the comparison between the salaries and supplemental earnings of employees of the city of Chicago.
Kevin Chao and Ben Nelson for our first code clinic and "bring-your-code".

Ali Ehlen and Ramya Gurunathan for introducing our newest attendees to data science.

Thomas Stoeger for a single-evening project on health indicators within the city of Chicago.

NICO for additional administrational help.
January 2018
Download introductory slides (with current announcements of NUIT, NICO, Ce-PIM) ​

Thank you to our presenter, Joe Germuska, from the Knight lab of Media Journalism, for his fantastic talk on "Data Journalism: Big and Small" (download slides)

Thank you to our breakout group leaders:​
​
Nicholas Wagner for teaching a group on building pipelines.

Damiano Fantini and Luca Lonini for continuing their regular learning group surrounding Kaggle, which seems to move towards deep-learning.

​Jason Chain  and Rebecca Harmon for continuing their group on the comparison between the salaries and supplemental earnings of employees of the city of Chicago.
​
Ali Ehlen and Ramya Gurunathan for introducing our newest attendees to data science.
Tess Pottinger, from the Biomedical Informatics and Data Science Student group, and Sarah Ben Maamar, from the Postdoctoral Forum, for including the attendees of the data science night in the planning of an upcoming data science career event.


Our friends from NUIT for exchanging announcements, and our great institutional support from NICO - especially Yasmeen Khan and Justyna Gutowska for administrational help, and Andrew Marfia for announcements.
November 2017
​Download introductory slides
​
Thank you to our presenter, Adam Miller, LSSTC Data Science Fellow, for his overview of machine learning, "Scikit-learn Soup to Nuts: Developing a Machine-Learning Workflow​"

Thank you to our breakout group leaders:
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Adam Miller for his fantastic talk on "Scikit-learn Soup to Nuts: Developing a Machine-Learning Workflow"

Damiano Fantini for identifying the potential for hacking nights for Northwestern's community, and for - together with Luca Lonini (also Postdoctoral Forum)- leading and establishing a regular learning group surrounding Kaggle.

Nicholas Wagner for teaching a group on REST APIs.

Noah Guale for initiating a project to help children from underprivileged neighborhoods finding an internship.

Rohit Pandit for creating and leading a project to forecast Oscar winners.
Rebecca Harmon and Jason Chain for initiating and learning a group comparing the the salaries of employees of the city of Chicago to their supplemental earnings.

Beth Hakamy for assisting with the event co-ordination during the data science night.

Chris Skovron and Jon Atwell for co-organizing the initial data science night, and Jon for organizing a project group to analyze the song lyrics of Bob Dylan.

Our friends from Northwestern's Postdoctoral Forum and NUIT for sharing our announcements and for sharing their feedback of preceding data science events. NICO - especially Yasmeen Khan for on-day preparation, and Andrew Marfia for creating a professional flyer.