GitHub

Email Spam Detection System using Machine Learning to classify emails as spam or ham, ensuring efficient and secure communication.

A machine learning-based application for detecting and classifying emails as spam or ham (non-spam), ensuring secure and efficient email communication. Navigate to the project directory: bash Copy ...
GitHub

Email-Spam-Filter-using-NLTK-Library-in-Python-NLP

This project presents an efficient Email Spam Filter that uses Multinomial Naive Bayes, Term Frequency-Inverse Document Frequency (TF-IDF), a curated email corpus, the Natural Language Toolkit (NLTK), ...
LinkedIn

Building a Simple Spam Detection Model Using Python and Machine Learning

Our project involves classifying messages as either spam (1) or not (0). To accomplish this, we will use a dataset of messages labeled as spam or non-spam, train a model using the Logistic Regression ...
LinkedIn

Detecting Spam Emails Using Tensorflow in Python

Spam messages are unsolicited or unwanted emails/messages sent in bulk to users. Detecting spam emails automatically helps prevent unnecessary clutter in users' inboxes. It is used to build, train, ...