In this video, we begin with classification. As an introduction we look at Edgar Andersons Iris dataset from 1936. We use this data to build a classification tree and from there predict the Iris species from our own data. All this to pose questions such as: what exactly is a "classification tree"? How did it develop from my Data? How accurate are my predictions, and can I explain them?
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 (orangedatamining.com/).
SUBSCRIBE to our channel: youtube.com/orangedatamining

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
__

Written by: Blaž Zupan (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 (www.biolab.si/)