Topic: “Machine Learning using Jupyter Notebooks on Graham”
Speaker: Jose Nandez, SHARCNET
Webinar link: SN-Seminars Vidyo room
Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Use cases include data cleaning and machine learning. The main programming language that one uses on Jupyter Notebook is Python. In this talk, we will describe how to use (install, configure, and run) Jupyter Notebook on Graham or Cedar. We will use scikit-learn, a Python machine learning library as a use case. Scikit-learn is simple and efficient tool for data mining and data analysis. We will also use Pandas and matplotlib for loading and visualizing, respectively. Note that some knowledge of Python and data mining techniques will be helpful.
SHARCNET account is not required to attend the webinar. If you don’t have a SHARCNET account, you don’t need to register for the webinar – just follow the webinar link right before the webinar.
Need help attending a webinar? See the SHARCNET Help Wiki.