AI Byte-Sized Series Classification Algorithm
- Created By raju2006
- Last Updated December 27th, 2023
- Overview
- Prerequisites
- Audience
- Audience
- Curriculum
Session Description:
Start your data-driven journey with our hands-on Classification Algorithm session. Learn to classify structured data, make predictions, and explore real-time applications.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."
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.
Course Code/Duration:
BDT73 / 90 Minutes
Learning Objectives:
Learn about what classification means in machine learning and what are some of the algorithms involved with classification,
We will then perform hands-on lab to do the following:
- Use one of these classification algorithms to build a classification model.
- Look at different metrics involved in performance of the model like accuracy , recall etc.
- Learn basic understanding of python language, pandas library and understanding of how to use Juypter Notebook.
- This session is designed for anyone who is familiar with basic steps involved in machine learning and are familiar with tools involved in building machine learning models.
- This session is designed for anyone who is familiar with basic steps involved in machine learning and are familiar with tools involved in building machine learning models.
Course Outline:
- Introduction to Classification
- Classification Algorithms Building a Classification Model
- Hands-On Lab.
