We are excited to announce PyData Toronto’s Hands-On Data Science Night! We are partnering with Sandbox by DMZ for an evening of data science. The goal of this meetup is to get participants started on solving data science challenges.
Please RSVP only if you can show up as we have limited space!
We will walk you through extracting meaning from a data set using a wide variety of machine learning and data science techniques with the Python programming language. If you are new to Python, don't worry, we will start with a quick overview of Python and Jupyter Notebook (the environment that we will use for completing this challenge). If you have done some programming before, you should pick it up quickly.
The easiest way to get Jupyter Notebook (as well as all packages used for this challenge) is to install the Anaconda distribution on your laptop.
Please bring your laptop (and charger) with Anaconda installed. No experience in data science or programming necessary. We'll get you started!
Free Wi-Fi access will be provided.
Many thanks to our venue sponsor, Sandbox by DMZ for making this event possible!
We are using the Subway Delay Data from the City of Toronto's Open Data Portal.
The files we are looking at are included in this repository.
To run the presentation, use the command
jupyter nbconvert presentation.ipynb --to slides --post serve --reveal-prefix reveal.js-3.5.0
The --reveal-prefix will give you speaker notes -- but you want to install the
latest reveal.js version in that folder.