GitHub Repo
https://github.com/Asufian1/Article-Classifier
We were given a dataset of text articles that had already been pre-processed into feature vectors. Each vector represented whether certain words appeared in an article, and the labels indicated the magazine it came from. Using the Naive Bayes algorithm, I trained the model to predict the most probable magazine based on the words in the article.
