Adventures in Machine Learning

Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.

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Exploratory Data Analysis (EDA) in Machine Learning - ML 075

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Published : Jun 09, 2022

Duration : 49 Minutes

Show Notes

EDA is primarily used in machine learning to see what data can reveal beyond the formal modeling or hypothesis testing task and provides a better understanding of data set variables and the relationships between them. It can also help determine if the statistical techniques you are considering for data analysis are appropriate. Today on the show, Ben and Michael discuss how to use EDA in machine learning models.

In this episode...

What is EDA?
Tips and Tricks and steps for EDA
How to approach downsampling
Understanding feature sets relative to your labels
Optimizing models
Motivating yourself to get into the data
Tools for EDA
A few scenarios for discussion
What is the most detrimental EDA mistake for ML

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Adventures in Machine Learning

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Exploratory Data Analysis (EDA) in Machine Learning - ML 075

Show Notes