Implementation of Text Classification Using K-Nearest Neighbors (KNN), Naive Bayes (NB), and Support Vector Machine (SVM) Algorithms

This assignment implements text classification using K-Nearest Neighbors (KNN), Naive Bayes (NB), and Support Vector Machine (SVM) algorithms, complete with datasets and a detailed experimental report covering implementation methodologies, performance analysis, and comparative evaluation of each approach.