There are 1 repository under spam-classifier topic.
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.
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).
Flask WebApp for Spam Detection using NLP
Spam classifier to test and train basic spam and ham emails using Naive Bayes Technique
The project main goal is to classify an email as spam or not using Naive Bayes Algorithm.
It uses Text Extraction Feature like TF-IDF Vectorizer and simple python code, to classify the messages as spam or ham (normal).
This is a system that takes an email and classifies if it is spam or not.
WebApp that Predicts whether provided Text is Spam or Ham
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.
Beginners' try with natural-language-processing end-to-end projects.
spam classifier with a dataset of 5000 mail
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.
SVM model to classify SMS as spam or ham using Machine Learning
A simple spam classifier using Multinomial Naive Bayes
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
Spam Classifier using Naive Bayes from scratch (with Laplace Smoothing) without use of scikit-learn.
The simplest way to identify mail as spam or not
Image Spam Buster - Hackathon submission for Mall91
Spam classifier using Naive Bayes algorithm.
Naive Bayes Classification implementation of Spam Classifier in Python from scratch.
Natural language processing (NLP) is a widely discussed and studied subject these days. NLP, one of the oldest areas of machine learning research, is used in major fields such as machine translation speech recognition and word processing. As part of this repository, I have implemented few projects on Natural Language Processing using Python and Machine Learning.
Python version of Andrew Ng's Machine Learning Course.
Python Projects of Data Science using Data Analytics and Machine Learning
SMS Spam Detection using machine learning algorithms
Artificial Intelligence Project
This is a simple Spam classifier, which will classify email either spam or not. It uses Naive Bayes Algorithm for classification, which is implemented from scratch ;)
This notebook classify emails as spam and ham.
In this project I build an end-to-end sms spam classifier and hosted it on Streamlit cloud.