There are 2 repositories under naive-bayes-classification topic.
NaiveBayes classifier for JavaScript
:star2: :sparkles: Analyze and visualize Twitter Sentiment on a world map using Spark MLlib
A small, no dependencies, Naive Bayes Text Classifier for JavaScript
A Python implementation of Naive Bayes from scratch.
Using various machine learning models to predict whether a company will go bankrupt
Classified messages as Spam or Ham using NLTK and Scikit-learn
Classifying emails into custom user labels
A predictive model that uses several machine learning algorithms to predict the eligibility of loan applicants based on several factors
GUI Application for Twitter Scraping and Sentiment Analysis.
Fake News Detection-Naive Bayes Model
Implementing a news classifier on Persian news dataset
Machine Learning, EDA, Classification tasks, Regression tasks for customer churn
I implemented a Naive Bayes classifier form scratch and applied it on MNIST dataset.
A scalable, explainable Java Naive Bayes Classifier that works either in memory or on persistent fast key-value store (MapDB, RocksDB or LevelDB)
URL Based Spam Classification Using Machine Learning
Email Classification using Naive Bayes algorithm
Spam Filter is a machine learning model that is used to detect unsolicited and unwanted messages and avert those messages from getting to a users’s inbox
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
JavaFX application detecting whether files are spam or not using Naive Bayes filtering
Academic project for Advances in Data Science and Architecture course
Portfolio of personal projects & curriculum from Springboard
A Bayesian model to check for any spam in a given sequence of mails and classify if is a spam or not
Project on YouTube regarding predicting clickbait and metadata
Naive Bayes and Decision Tree Classifiers implemented with Scikit-Learn and Graphviz visualization (Datasets - News, Mushroom, Income)
Simple Naive Bayes classification is utilized for segmenting satellite images into river and non-river points.
One Data Set with multiple Algorithms
Hate Speech in the form of racism and sexism has become a nuisance on Twitter and it is important to segregate these sort of tweets from the rest. In this problem, I have taken the Twitter data that has both normal and hate tweets. So the task was to identify the tweets which have a positive connotation from the tweets that have a negative one.
PCA applied on images and Naive Bayes Classifier to classify them. Validation, cross validation and grid search with multi class SVM
Multilabel classification of comments based on their toxicity.
Unsupervised Learning (PCA) on Vehicle dataset
A Python-based email spam detector using the Naive Bayes approach.
A simple implementation of the Gaussian Naive Bayes algorithm in Android ( with Kotlin ).