Live Coding: The Favorite Techniques of the Experts
Hello all, we're happy to announce our 4th Facebook Live coding event! DataCamp's Hugo Bowne-Anderson is back to teach you techniques that guests on the DataFramed podcast say are their favorite. Hugo recently launched DataFramed, a podcast in which he speaks with experts and thought leaders from academia and industry about what data science looks like in practice and how it's changing society.
Join us for this live, interactive code along session to find out, and learn, the favorite techniques of DataFramed's first guests, which include Hilary Mason (Cloudera Fast Forward Labs), Chris Volinsky (AT&T), Claudia Perlich (Two Sigma), Robert Chang (Airbnb), Jake VanderPlas (University of Washington, Google) and many more! Among other things, we'll be using Python to check out some of their favorite data visualization and machine learning techniques, such as decision trees, many types of regression and principal component analysis!
When: Thursday, February 22nd at 3pm ET on Facebook
Where: Live on our Facebook page. Follow us so you get notified!
Instructions: Follow the steps found in this Github repo if you wish to code along with Hugo!
Prerequisites: This code along session is meant for beginners and intermediates alike. Whether you wish to actively follow along with your code, or just watch Hugo perform the analysis, some programming fundamentals and Python basics will help (e.g., variables, for loops). A bit about Jupyter Notebooks and your way around the terminal/shell as well.
If you'd like to watch and not code along, you'll also have a great time and these notebooks will be downloadable afterward also.
If you have any thoughts, comments, or questions, feel free to reach out to Hugo on Twitter: @hugobowne.