🌟 ✨ Analyze and visualize Twitter Sentiment on a world map using Spark MLlib

Classified messages as Spam or Ham using NLTK and Scikit-learn

A Python implementation of Naive Bayes from scratch.

基于新浪微博数据的情感极性分析

A predictive model that uses several machine learning algorithms to predict the eligibility of loan applicants based on several factors

naive bayes in php

Unsupervised Learning (PCA) on Vehicle dataset

NaiveBayes classifier for JavaScript

Using various machine learning models to predict whether a company will go bankrupt

Classifying emails into custom user labels

Academic project for Advances in Data Science and Architecture course

I implemented a Naive Bayes classifier form scratch and applied it on MNIST dataset.

The Spam Detector for Email and SMS is a software tool that analyzes messages sent via email or SMS to identify and filter out spam. It uses machine learning algorithms to scan messages and determine whether they are spam or not, based on a variety of factors.

A small, no dependencies, Naive Bayes Text Classifier for JavaScript

Python implementation of a Naïve Bayes classifier with bag-of-word (BOW) features and Add-one smoothing. Experimentation with binary NB.

Simple Naive Bayes classification is utilized for segmenting satellite images into river and non-river points.

GUI Application for Twitter Scraping and Sentiment Analysis.

Algoritma Naive Bayes merupakan sebuah metoda klasifikasi menggunakan metode probabilitas dan statistik, Algoritma Naive Bayes memprediksi peluang di masa depan berdasarkan pengalaman di masa sebelumnya

End-to-end implementation and deployment of Machine Learning Restaurant Reviews Sentiment Analysis using python, flask, gunicorn, scikit-Learn, nltk, etc. on the Heroku web application platform.