Spam Scanner is a Node.js anti-spam, email filtering, and phishing prevention tool and service. Built for @ladjs, @forwardemail, @cabinjs, @breejs, and @lassjs.
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Updated
Feb 11, 2024 - JavaScript
Spam Scanner is a Node.js anti-spam, email filtering, and phishing prevention tool and service. Built for @ladjs, @forwardemail, @cabinjs, @breejs, and @lassjs.
A Naive Bayes spam/ham classifier based on Bayes' Theorem. A bunch of emails is first used to train the classifier and then a previously unseen record is fed to predict the output.
Spam Classifier project for my end-of-semester project for Intro to AI class. We were a group of four people. I worked on all the Naive Bayes models.
Flask WebApp for Spam Detection using NLP
Spam classifier using Naive Bayes algorithm.
Building a iOS Application using Apple's Core ML Framework, we will builed a Linear SVC model using sklearn library on the SMS Data, users will type a message on their iPhone and our model will then identify whether the message is a Spam or a Ham (Not spam).
Python Projects of Data Science using Data Analytics and Machine Learning
Spam classifier to test and train basic spam and ham emails using Naive Bayes Technique
IF4072 Natural Language & Text Processing
We use support vector machines (SVMs) with various example 2D datasets. Experimenting with these datasets will help us gain an intuition of how SVMs work and how to use a Gaussian kernel with SVMs. In the next half of the exercise, we use support vector machines to build a spam classifier.
This web app is powered with ML, NLP which identifies whether the message is a spam or not.
SMS Spam Detection using machine learning algorithms
Supervised machine learning using a data set of 2500 ham and 500 spam emails. Data is also split into train and test sets of various sizes to test the classifier's efficiency. (Python)
WebApp that Predicts whether provided Text is Spam or Ham
Use the Naive Bayes algorithm to create a model that can classify dataset (https://archive.ics.uci.edu/ml/datasets/SMS+Spam+Collection) SMS messages as spam or not spam
The simplest way to identify mail as spam or not
SVM model to classify SMS as spam or ham using Machine Learning
A simple spam classifier using Multinomial Naive Bayes
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