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CSC108-Week-7-Podcast
by CSC108-Week-7-Podcast
Week 7: Supervised Learning – Classification for beginnersTopics:Introduction to classification problemsLogistic regression and applicationsDecision trees and random forestsLearning Outcomes:Define classification tasks and key differences from regressionBuild classification models using logistic regression and decision treesAnalyze how classifiers are used in social science contexts
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Getting Started with Classification
This episode unpacks the basics of classification in supervised learning, diving into how logistic regression and decision trees work. Michael Thompson explores why classification matters and how these models are leveraged, especially in the social sciences.
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ABOUT THIS SHOW
Week 7: Supervised Learning – Classification for beginnersTopics:Introduction to classification problemsLogistic regression and applicationsDecision trees and random forestsLearning Outcomes:Define classification tasks and key differences from regressionBuild classification models using logistic regression and decision treesAnalyze how classifiers are used in social science contexts
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CSC108-Week-7-Podcast
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Week 7: Supervised Learning – Classification for beginnersTopics:Introduction to classification problemsLogistic regression and applicationsDecision trees and random forestsLearning Outcomes:Define classification tasks and key differences from regressionBuild classification models using logistic...
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