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Oct 9, 2024
email-spam-classifier
Here are 28 public repositories matching this topic...
An Email Spam Classifier project, helps you detect your spam email from correct email. Try it out here!
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Jun 16, 2023 - Python
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.
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Dec 17, 2022 - C++
Identifying and distinguishing spam SMS and Email using the multinomial Naïve Bayes model.
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Nov 22, 2022 - Jupyter Notebook
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.
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Mar 22, 2023 - Jupyter Notebook
Would you like to know which e-mail is spam and which is ham?
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Jul 4, 2022 - Jupyter Notebook
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.
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Sep 12, 2022 - Jupyter Notebook
An end-2-end project
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May 12, 2023 - Jupyter Notebook
To check email is spam or not spam
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Jul 12, 2024 - Jupyter Notebook
Email Spam Detection using Machine Learning
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Jul 20, 2023 - Jupyter Notebook
Email Spam Detection Using Logistic Regression
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May 15, 2024 - Jupyter Notebook
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.
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Oct 30, 2022
This project is to classify emails as spam or not spam using various machine learning models. Hyperparameter tuning is performed to optimize model performance.
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Jul 16, 2024 - Jupyter Notebook
A email spam classifier based on Multinomial Naive Bayes model and running on Streamlit.
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Apr 28, 2024 - Python
Classify the message is spam or not using Multinomial Naive Bayes.
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Jan 19, 2024 - Jupyter Notebook
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.
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Oct 8, 2023 - Jupyter Notebook
Email Spam detection using Machine Learning
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May 31, 2023 - Jupyter Notebook
Email spam classification for Naive Bayes, Gradient Boosting Machine, Support Vector Machine and Random Forest
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Jan 17, 2023 - Jupyter Notebook
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
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Jan 3, 2023 - MATLAB
Classifies an email as spam or not using naive_bayes machine learning algorithm
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Oct 12, 2020 - Jupyter Notebook
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