Byte-Sized ML Series: Classification Algorithms
- Created By raju2006
- Last Updated December 12th, 2023
- Overview
- Prerequisites
- Audience
- Audience
- Curriculum
Description:
In this session, we’ll explore the machine learning process and discuss how to train a machine learning model to make predictions and classify data. We’ll explore various classification algorithms, various ways to measure a model’s performance, and how to use a trained model.
Course Code/Duration:
BDT178 / 90 minutes.
Learning Objectives:
You will learn:
- The machine learning process
- The difference between regression and classification
- Various classification algorithms
- How to evaluate a classifier’s performance
- How to use a trained model
- No prior technical knowledge.
- This session is for learners who would like to become familiar with the machine learning process.
- This session is for learners who would like to become familiar with the machine learning process.
Course Outline:
- The Machine Learning Process
- Regression vs. Classification
- Classification Algorithms
- Evaluating a Classifier’s Performance
- Using a Trained Model
The curriculum is empty
[INSERT_ELEMENTOR id="19900"]
