Emails, Algorithms, and Bookkeeping
This report investigates the multi-label classification problem of expense-related documents, aiming to be classified into nine distinct types of categories. Various machine learning methods including Naive Bayes, Logistic Regression, Support Vector Machines, Linear Discriminant Ana- lysis, k-Nearest Neighbors, Decision Trees, Random Forest, Gradient Boosting, and Recurrent Neural Networks were em
