Machine Learning/AI Series: Understanding Machine Learning Regression Model

Most Technology Training classes will be delivered online until further notice.

Before each sesson, Tech Training will provide a Zoom link for live online classes, along with any required class materials.

A byte-sized session intended to get you started with applying linear regression algorithm to build a machine learning model.

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 Python language, Pandas library, and be familiar with how to use Jupyter Notebook.

Audience: 
This session is designed for anyone familiar with the basic steps involved in machine learning and 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/) prior to the class, and have a basic understanding of using Jupyter Notebook.