In the Loop
When: Nov. 14, 2019, 6 p.m.
200 W Jackson Blvd, Chicago, IL 60606
This event is no longer accepting registrations.
200 going so far
By: Ray Buhr
Experience Level: Novice
Length: 20 Minutes
I made a package, pyplot-themes, that helps make it easier to: 1. have decent looking matplotlib/pandas plots 2. have some decent color palettes 3. create your plot themes https://pypi.org/project/pyplot-themes/
Python at Nielsen
By: Jordan Bettis , Meygha Bhat , Vamsi Guntamukkala
Length: 30 Minutes
We will talk to you about Nielsen's Connect Platform, our global, unified, open data ecosystem powered by Microsoft Azure and how we're building platform components using Python. Specifically, we'll deep dive into object-oriented data flows. As more and more data scientists write software beyond statistical models, object thinking from the field of programming can help them write test-able, maintainable and reusable components.
Demystifying Machine Learning
By: Nikola Novakovic
Experience Level: Intermediate
Length: 30 Minutes
Machine Learning is something you'll see referenced very frequently now in everything from marketing materials to sales pitches, and job postings. With so much hype it can be hard to distinguish what people mean when they say Machine Learning. In this talk we will demystify Machine Learning by understanding its core concepts and applying that knowledge to real world examples. We'll explain basic concepts like linear algebra and loss functions, figure out when to use machine learning and build an ML model that we'll be able to use in real world apps. Here’s an in-depth list of what we'll cover: * What Machine Learning is and where it’s being used * How to recognize when machine learning is necessary * Math 101 * Linear Regression * Live Coding Session Salary Estimator * Q & A