This project has code to convert the text document to a matrix of token counts (Count Vectorizer) and then transform it to TF-IDF representation. Then train the dataset using Naive Bayes classifier, Linear SVM classifier, Logistic Regression Classifier and KNN Classifier
The project contains the following files: a. Jupyter notebook file b. Stack-Overflow.csv (under data folder)