email-spam-filter
There are 2 repositories under email-spam-filter topic.
- Email-spm
Hamad57-a11y / Email-spm
Email spm tool
Language:C++ 311 - Email-Spm
nishi1612 / Email-Spam-Classification-using-SVM
The uploaded codes help to classify emails into spam and non spam classes by using Support Vector Machine classifier.
Language:Python 30klevis / emailSpamFilter
Email Spam Detection using Java and Apache Spark MLib
Language:Java 9Kawa1sk / Email-Bomber-SMTP
The Email Bomber is made for research and testing purposes only. Email Bombercan send bulk mail or SMS text messages.
Language:Visual Basic .NET 8UmarRajpoot / Identify-Spam-Email-ML-Model
This Model is used to Predict Emails data. Either emails are Spam or Normal (Ham) Mail.
Language:Jupyter Notebook 6kanagalingamcse / email-spam-detection
One of the primary methods for spam mail detection is email filtering. It involves categorize incoming emails into spam and non-spam. Machine learning algorithms can be trained to filter out spam mails based on their content and metadata.
Language:Jupyter Notebook 5Mananp96 / Email-Spam-Detector-Naive-Bayes-Classifier
A Python-based email spam detector using the Naive Bayes approach.
Language:Python 3SabeehHassany / Email-Spam-Detector-DecTreeClass
Using a decision tree classification model to identify spam emails based on the specific occurrence of certain features and patterns within the email text. The dataset contains over 54 feature variables from over 4000 emails and can be used to make a custom email spam detector.
Language:Jupyter Notebook 3- Language:Kotlin 2
deepak14ri / Detection-of-Spammed-mail-
Detected Spammed emails from an ‘SMS spam collection dataset’ with 98% accuracy. Used NLTK and Sklearn to preprocess the text data and classification.
Language:Jupyter Notebook 2iiakshat / spam-mail-detection
A simple text classifier in Python that uses the Naive Bayes model to classify e-mails as spam or ham.
Language:Jupyter Notebook 2patelvivekdev / Email_spam_detection
Create a `Naive Bayes` model for email spam detection
Language:Jupyter Notebook 2peoslsodo / AllInoneemailextract
All-in-One Email Extract & Scraper Pro is a powerful and comprehensive email extraction and scraping tool designed to help users extract email addresses from google,bing,yahoo etc search engines, and social media platforms,and google map
Language:Python 2- Language:Jupyter Notebook 2
vaeth / machine-learning-mv
Some Machine Learning Experiments
Language:Perl 2kanagalingamsm / Email-Spam-Detection
Email Spam Detection using Machine Learning
Language:Jupyter Notebook 1mansidw / What-Spoofed
An end-to-end automated script that will check the latest email from your google mail account and give a brief report whether the email was spoofed or was supposedly impersonated!
Language:Python 1sefinek24 / Blacklisted-Emails
A repository containing a list of email addresses that will be identified as sources of spam or other types of fraud in the future.
shreyasbhatia09 / Spam-Classification-using-Naive-Bayes
Using naive bayes classfier to predict spam
Language:Python 1JunshuaiFeng / EmailSpamChecker
This email spam checker uses two machine learning classifiers: kNN and Naive Bayes.
Language:Java 0NissyAbrahamA / Spam-Detection
Email Spam detection using Machine Learning
Language:Jupyter Notebook 0abhinavsaurabh / EmailSpam
Spam Email Detection using Naive Bayes
Language:Python- Language:Python
praveen101295 / spam_detection
Python || Machine Learning
Language:Jupyter Notebookrikzyj / CM2604_ML_CW
Email Spam detection using KNN and Decision Trees Models Trained using the Spambase database
Language:Pythonyashkarle / Email-Spam-Filter
Email Spam Filter using SVM Classifier
Language:Matlab
