Most Powerful Send Fake Mail Using Any Mail I'd undetectable

This repository contains a Python script that uses various machine learning models to classify spam messages from ham messages. The model is trained on a Popular dataset of Spam emails and we use multiple machine learning models for classification.

🥡️✉️📦️ The SpamBox is an open source separate implementation of the typical email spam folder.

The app takes email input in text format from the user and accurately classifies it either as spam or ham (not spam) with an overall accuracy of 95%. You can access the app using the link below.

Spam Dector Frontend created using Next JS shadcn ui and tailwind css

Repositori ini berisi model untuk deteksi email spam yang diimplementasikan menggunakan Keras dan TensorFlow.

CipherByte Technologies internship in Data Science Repository

Machine Learning - Binary Classification

These are some of the projects that I have worked on while taking the Machine Learning course at UT Dallas under Prof Anjum Chida in Spring 16. Assignment 2 consists of Naive Bayes and Logistic Regression codes for classifying emails as either spam or ham. Assignment 3 consists of Image segmentation using K-Means and Perceptron algorithm for ema…

CSE422 Final Lab Project FALL2022