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A Data Science Case Study: Petition Topic & Priority Analysis
Executive Summary In task 1, I built a petition topic classifier using TF-IDF and metadata features. After data cleaning, entity extraction, and resampling, a linear SVM model achieved strong performance, meeting the misclassification threshold. Task...
#data-science#machine-learning#supervised-learning#semi-supervised-learning#data-exploration#data-cleaning#python#feature-engineering
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