Byte-Sized ML Series: Data Visualization
- Created By raju2006
- Last Updated December 12th, 2023
- Overview
- Prerequisites
- Audience
- Audience
- Curriculum
Description:
In this session, we will discuss the fundamentals of data visualization and we’ll examine its use in exposing hidden insights that can improve a machine learning model’s understanding of the data. We’ll particularly examine how data visualization is used to bolster feature engineering, enabling improved machine learning performance.
Course Code/Duration:
BDT176 / 90 minutes.
Learning Objectives:
You will learn:
- Various ways to plot data in order to expose insights
- How the data type influences chart selection -How to “read” a chart with feature engineering in mind
- How to validate the significance of an observation
- How to convert an observation into a feature that the machine learning model can use
- 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:
- Exploring Various Ways to Plot Data for Insights
- Understanding How Data Type Influences Chart Selection
- Reading Charts with Feature Engineering in Mind
- Validating the Significance of an Observation
- Converting an Observation into a Usable Feature for Machine Learning Models
Training material provided: Yes (Digital format)
The curriculum is empty
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