email-spam-classifier
There are 2 repositories under email-spam-classifier topic.
- Email-Spm
mohammadnabia / Multinomial-nb-Spam-Identifier
Identifying and distinguishing spam SMS and Email using the multinomial Naïve Bayes model.
Language:Jupyter Notebook 8prakharjadaun / Feature-Extraction-for-Spam-Email-Detection
Implemented Preprocessing steps, Feature Extraction techniques and Naive Bayes Classifier in C++. Moreover, we have also implemented all the steps using python for comparative analysis.
Language:C++ 8BirajCoder / Email-Spam-Classifier-v2
An Email Spam Classifier project, helps you detect your spam email from correct email. Try it out here!
Language:Python 7kanagalingamcse / 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 4MelihGulum / Email-Spam-Detection
Would you like to know which e-mail is spam and which is ham?
Language:Jupyter Notebook 3imlakshay08 / email_sms-spam-detection-system
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.
Language:Jupyter Notebook 2strikoder / SpamFilter
An end-2-end project
Language:Jupyter Notebook 2ammarsufyan / EmailSpamDetection-WEKA
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.
kanagalingamsm / Email-Spam-Detection
Email Spam Detection using Machine Learning
Language:Jupyter Notebook 1Udrasht / Multinomial-Naive-Bayes-from-Scratch
Classify the message is spam or not using Multinomial Naive Bayes.
Language:Jupyter Notebook 1Email-Spam-Classifier using Naive Bayes Algorithm
Language:Jupyter Notebook 0inmind99 / Email-Spam-Classifier
Email Spam Classifier using Naive Bayes algorithm
Language:Jupyter Notebook 0nazir20 / Email-Spam-Classification
Email Spam Detection Using Logistic Regression
Language:Jupyter Notebook 0NissyAbrahamA / Spam-Detection
Email Spam detection using Machine Learning
Language:Jupyter Notebook 0OperaDevelop07 / Data-Mining-Techiques-for-Heart-Stroke-and-Email-Spam-Prediction
Data Mining Techniques for Stroke and Email Spam Prediction
Language:Jupyter Notebook 0Shuhaib-Ahamed / Email-Spam-Classification
Email spam classification for Naive Bayes, Gradient Boosting Machine, Support Vector Machine and Random Forest
Language:Jupyter Notebook 0virajbhutada / Compozent_ML_AI_OCT23
Welcome to the "Compozent_ML_AI_OCT23" repository, a compilation of machine learning and artificial intelligence projects focusing on solving real-world challenges. Authored by Viraj N. Bhutada, these projects demonstrate proficiency in advanced machine learning techniques.
Language:Jupyter Notebook 0Adm-2005 / Email-Spam-Classifier
A email spam classifier based on Multinomial Naive Bayes model and running on Streamlit.
Language:Pythonmightomi / Email-Spam_Classifier
Classifies an email as spam or not using naive_bayes machine learning algorithm
Language:Jupyter Notebooksachinraghult / email-spam-classifier-svm
A email spam classifier using support vector machine in octave
Language:MATLABweb-dev-champ / Spam_Mail_Detector
A simple model based on naive bayes algorithm to classify spam emails from regular (ham) emails.
Language:Jupyter Notebookwilliamcfrancis / Email-Spam-Classifier-using-SVM
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
Language:MATLAB
