Email Spam detection using Machine Learning
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Updated
May 31, 2023 - Jupyter Notebook
Email Spam detection using Machine Learning
Email spam classification for Naive Bayes, Gradient Boosting Machine, Support Vector Machine and Random Forest
Linear classifier using Support Vector Machines (SVM) which can determine whether an email is Spam or not with an accuracy of 98.7%. Used regularization to prevent over-fitting of data. Pre-processed the E-mails using Porter Stemmer algorithm. Used a spam vocabulary to create a Feature Vector for each E-mail. Prints the top 15 predictors of spam
A simple model based on naive bayes algorithm to classify spam emails from regular (ham) emails.
Email Spam Classifier using Naive Bayes algorithm
email spam classification is to identify and filter out unwanted emails,
Classifies an email as spam or not using naive_bayes machine learning algorithm
Collection of practical codes for Savitribai Phule Pune University's Machine Learning Laboratory (410246).
Email-Spam-Classifier using Naive Bayes Algorithm
Data Mining Techniques for Stroke and Email Spam Prediction
Machine Learning | Deep Learning | Data Science case studies
A email spam classifier using support vector machine in octave
Email Spam Detection Using Logistic Regression
Proyek ini bertujuan untuk memeriksa bahwa email yang diterima adalah spam atau ham melalui klasifikasi teks di WEKA menggunakan algoritma J48 Decision Tree dan Naive Bayes Multinomial Text.
This project is to classify emails as spam or not spam using various machine learning models. Hyperparameter tuning is performed to optimize model performance.
Classify the message is spam or not using Multinomial Naive Bayes.
A email spam classifier based on Multinomial Naive Bayes model and running on Streamlit.
Email Spam Tool is a powerful application designed for testing and analyzing email systems by generating and sending bulk emails. This tool is meant for security professionals and developers to evaluate email filtering systems and anti-spam measures.
This is an Email/SMS spam detection system, built as a project for AutumnnHacks Hackathon. It classifies messages you recieve on emails and sms as spam or not spam.
An end-2-end project
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