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

Spam Email Detection using Natural Language Processing

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.

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.

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

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