Implementation of Bayes Networks for probability evaluation and Naive Bayes Classifier for the classification of spam/ham emails.

Model buat TA Sentimen and Topik Berita Indonesia

Here we have fully implemented a number of algorithms related to machine learning

Practice

Repositório destinado aos projetos realizados na disciplina de Reconhecimento de Padrões (RP) [2023.1] do PPGEEC.

Sentiment Analysis tool for Tourism Sector (Naive Bayes). Tool analize internet comments of hotels

SpamShield is a Flask-based web application that employs machine learning to swiftly identify and flag spam content in emails and text messages, offering users real-time protection against unwanted solicitations. With an intuitive interface and privacy-conscious design, SpamShield ensures efficient spam detection while safeguarding user privacy

Program data mining menggunakan algoritma Naive Bayes

Proyecto de investigación en ML para identificar factores genéticos en pronóstico de lesiones pre-tumorales. Aprendizaje no supervisado para discernir perfiles genéticos distintivos entre grupos de buen y mal pronóstico, mejorando detección y tratamiento temprano del cáncer.

Bu projede Breast Cancer data veri seti kullanılarak KNN (K Nearest Neighbor) SVM (Support Vector Machine) Naive Bayes algoritmalarıyla eğitim yapılmıştır. Eğitimde Gridsearch kullanılarak en optimum parametreler bulunmuştur.

A Virtual Assistant integrated in TUP Website using NLP and Naive Bayes Algorithm

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น

analisis sentimen bahasa Indonesia menggunakan naive-bayes

Using Machine Learning in predicting customer churn from bank credit card services

This repository contains a comparison of different Naive Bayes classifiers (Bernoulli, Gaussian, and Multinomial) for predicting benign and malignant cancer cases. The project includes confusion matrices for each classifier to evaluate their performance.

This Repository consists of programs related to AI-ML-DL-NLP-CV. Few examples include - KNN, Naive Bayes, Decision Trees, EDA etc.

A simple text classifier in Python that uses the Naive Bayes model to classify e-mails as spam or ham.

This repository contains an implementation of the Naïve Bayes classifier from scratch for my machine learning course. It then used to perform classification on two different datasets to detect lung cancer and webpage phishing.