GitHub topics: spam-email-detection

Repositories

kesavaimandi/Spam-Mail-Detection

This project is an end-to-end Email Spam Detection System that classifies email messages as Spam or Not Spam (Ham) using Machine Learning. The model is deployed via a Flask web application, allowing users to test emails through a browser interface.

Language: Jupyter Notebook - Size: 10.5 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

HadiNahyan/Machine_Learning-_Techniques_for_Credit_Card_Fraud_Detection

Explore machine learning techniques for credit card fraud detection. Compare methods like SVM and XGBoost on imbalanced datasets. 📊💻

Language: Jupyter Notebook - Size: 899 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0

hackerxphantom/Spoof_AnyMail

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

Language: Python - Size: 15.6 KB - Last synced at: 4 months ago - Pushed at: about 3 years ago - Stars: 137 - Forks: 23

VedantVare/Spam-Mail-Detection

Language: Jupyter Notebook - Size: 2.1 MB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 1

enoobis-ai/spam-email-detection

AI project for classifying emails as spam or not spam

Language: Python - Size: 12 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

asayem172153/Machine-Learning-related-works

Here I have Demonstrated Some of my Machine Learning works

Size: 3.91 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Inmoresentum/SpamEmailDetection

CSE422 Final Lab Project FALL2022

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dhawal-793/spam-detection-next

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

Language: TypeScript - Size: 355 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

KalyanM45/Spam-Email-Detection

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.

Language: Jupyter Notebook - Size: 3.53 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0

codewithanirban/CBTCIP

CipherByte Technologies internship in Data Science Repository

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GauravG-20/Spam-Email-Detection-using-MultinomialNB

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.

Language: Jupyter Notebook - Size: 1.44 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0