Machine Learning/AI Series: Understanding Machine Learning Classification Algorithms

Effective immediately in response to COVID-19, all Technology Training classes will be delivered online until further notice.

In advance of each session, Tech Training will provide you with a Zoom link to your class, along with any required class materials.
 

A byte-sized session intended to get you started with Classification Algorithms to classify structured data and make predictions.

Part of the Machine Learning / Artificial Intelligence Class Series. Optional: Attend 4 out of the 6 sessions and work towards obtaining a Technology Training ML/AI Proficiency Certification. 

Prerequisite: 
Have a basic understanding of the Python language, Pandas library, and be familiar with how to use Jupyter Notebook. 

Audience: 
This session is designed for anyone who is familiar with the basic steps involved in machine learning, and the tools involved in building machine learning models.

Objectives: 
Learn about what classification means in machine learning and some of the algorithms involved with classification. We will then perform hands-on labs to do the following:

• Use one of these classification algorithms to build a classification model.
• Look at different metrics involved in evaluating the performance of the model

Setup
- Because this is an abbreviated session, attendees MUST install Anaconda software (https://www.anaconda.com/) prior to the class, and have a basic understanding of using Jupyter Notebook.

University IT Technology Training classes are only available to Stanford University staff, faculty, students and Stanford Hospitals & Clinics employees. A valid SUNet ID is needed in order to enroll in a class.