Ankit152 / Email-Spam-Classifier

Spam classifier using Bag of Words (BOW) model and Support Vector Machine (SVM) applied with GridSearchCV.

Email Spam Classifier ✉️

Context ℹ️

The SMS Spam Collection is a set of SMS tagged messages that have been collected for SMS Spam research. It contains one set of SMS messages in English of 5,574 messages, tagged according being ham (legitimate) or spam.

Based on the data point we have to classify whether it is a spam or ham.

Methodology 🛠️

1. A Support Vector Machine(SVM) model hyperparameter tuned using GridSearchCV.
2. A Web App using: HTML, CSS, Flask and Python.