Skip to content Skip to site navigation Skip to service navigation

Machine Learning/AI Series: Understanding Machine Learning Regression Model

Class Sessions

Date Location Cost
  • Wed Feb 3, 10:30 am to 12:00 pm
Live Online $150

Class Code

ITS-B1904

Class Description

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 started with apply linear regression algorithm to build a machine learning model.

Part of the Machine Learning / Artificial Intelligence Class Series. Optional: Attend 4 out of the 5 sessions and work towards obtaining a Technology Training ML/AI Proficiency Certification. 

Pre-requisite: 
Have a basic understanding of Python language, Pandas library, and an understanding of how to use Jupyter Notebook.

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

Objectives:
Learn about the intuition about Linear Regression algorithm in machine learning for Univariate and Multi-variate data. We will then build a linear regression algorithm to do the following:

  • Build a model on a dataset.
  • Look at different metrics involved in looking at the performance of the model.

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



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