Feed
Discussion
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...
datapetitions.hashnode.dev3 min read
#data-science#machine-learning#supervised-learning#semi-supervised-learning#data-exploration#data-cleaning#python#feature-engineering
Responses
No responses yet.