Logistic Regression Nomogram

In this video, we explore the mechanics of logistic regression using the Employee Attrition dataset. Delving into its intricacies, we standardize data, balance class distributions, and explain the mathematical foundations behind decision boundaries. Additionally, we uncover how nomograms offer a graphical representation of logistic regression models, providing a clear understanding of feature importance and predictions.

This video is a part of Introduction to Data Science video series that dives into machine learning, visual analytics, and joys of interactive data analysis using Orange Data Mining software (https://orangedatamining.com).
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The development of this video series was supported by grants from the Slovenian Research Agency (including P2-0209, V2-2274, and L2-3170), Slovenia Ministry of Digital Transformation, European Union (including xAIM and ARISA) and Google.org/Tides foundation.

#machinelearning #orange #visualanalytics #datamining
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Written by: Blaž Zupan (http://biolab.si/blaz)
Presented by: Noah Novšak
Production and edit: Lara Zupan
Intro/outro: Agnieszka Rovšnik
Music by: Damjan Jović – Dravlje Rec
Orange is developed by Biolab at University of Ljubljana (https://www.biolab.si)