A manual Naive Bayes Classifier for classifying spam and ham emails. Written in Python.

Spam Email Detection using Natural Language Processing

A custom Naive Bayes (NB) Classifier for classifying spam and ham text files. Written in Matlab. You should also check my NB classifier in Python.

K-NN, Naive-Bayes & Baseline classifiers for the LingSpam dataset, written in C++.

In the spam email dataset, this Python code snippet is performing text classification using support VectorSVM.

A simple implementation of logisitic regression in Java

Spam Ham Classifier: A Python Flask application for categorizing messages as spam or ham. This classification is based on analyzing existing data in the database and predicting the likelihood of a message being spam or ham, without the use of machine learning.

Implementation of various Neural Networks, without using Machine Learning libraries. Written in Python.

Implementation of various Neural Networks (NN). I have included NNs for MNIST and Spam Ham classification. Written in Matlab.

Predict whether email is spam or ham using naive Bayes and neural network