SMS-Spam-Classification

SMS Spam classification Comparision between different model (SVM, Gaussian Naive Bayes, Logistic Regression, Multi-layer Perceptron classifier, Decision Tree and Recurrent Neural Network)

Train and Test Data

Data is split into 80% of train and 20% of test data.

Dataset Source

https://www.kaggle.com/uciml/sms-spam-collection-dataset

#Future Work This model will be soon included in a FLASK application for real-time spam message detection.