Topic: spam-email-detection Goto Github
Some thing interesting about spam-email-detection
Some thing interesting about spam-email-detection
spam-email-detection,Machine Learning - Binary Classification
User: akashbangalkar
spam-email-detection,CipherByte Technologies internship in Data Science Repository
User: codewithanirban
spam-email-detection,Spam Dector Frontend created using Next JS shadcn ui and tailwind css
User: dhawal-793
Home Page: https://spam-detector-793.vercel.app
spam-email-detection,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.
User: gauravg-20
Home Page: https://spam-email-detection-xkfbkgmxafoxvaaprmxlnr.streamlit.app/
spam-email-detection,Most Powerful Send Fake Mail Using Any Mail I'd undetectable
User: hackerxphantom
spam-email-detection,CSE422 Final Lab Project FALL2022
User: inmoresentum
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.
User: kalyanm45
spam-email-detection,Repositori ini berisi model untuk deteksi email spam yang diimplementasikan menggunakan Keras dan TensorFlow.
User: notsuperganang
spam-email-detection,🥡️✉️📦️ The SpamBox is an open source separate implementation of the typical email spam folder.
User: seanpm2001
Home Page: https://github.com/seanpm2001/DSuite/
spam-email-detection,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 email classification. Both the assignments contain the datasets.
User: tapasya234
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