The project's files can be found in the following folders: 1. Data - Python code used to convert the .txt files into .csv files for training and testing. - .csv file for training - .csv file for testing/predicting 2. Logistic Regression - Python code running logistic regression (the set parameters reproduce the best obtained result for LR) - .csv file submitted to Kaggle obtaining best result for LR - Subfolder with .txt files including the search steps performed to improve accuracy. 3. Naive Bayes - Python code (Version 1) with self-made bag of words feature. - Python code (Version 2) with CountVectorizer from "scikit-learn". - .csv file submitted to Kaggle obtaining best result for Naive Bayes (from Version 1) - .txt file showing steps to improve accuracy. 4. SVM - Python code running SVM (the set parameters reproduce the best obtained result for LR) - .csv file submitted to Kaggle obtaining best result for SVM - Subfolder with .txt files including the search steps performed to improve accuracy.