This contains the most commonly used machine learning and deep learning models written from scratch without the use if any libraries except Numpy which is used for calculations

This Tsunami forecast written in java for my college purposed at semester 2.

A simple virtual assistant powered by a multinomial Naive Bayes classifier

HASTIE_NAIVEBAYES: from the Hastie_10_2.csv file obtained by the procedure described in https://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_hastie_10_2.html, obtains a success rate in the training of 88% and 84% in the test. The main difference is that in the statistical process, each field is sampled differently according to…

# SUSY_WEIGHTED_V1: from the SUSY.csv test file (https://archive.ics.uci.edu/ml/datasets/SUSY), create a valued SUSY.csv that, together with a program included in the project, allows obtain success rates higher than 78%. The main difference id that In the statistical process, each field is sampled differently according to its contribution to the…

The source code developed and used for the purposes of my thesis with the same title under the guidance of my supervisor professor Vasilis Mamalis for the Department of Informatics and Computer Engineering of the University of West Attica.

comparative study of data mining techniques in health care for heart disease

Smart Laundry app is a system built to get information about clothes to be washed. The information collected is in the form of weight level, humidity level, and clothing price. The app runs on Android devices using the naïve bayes method in the admin app to classify clothes that should be processed immediately.

Project for Intro to AI @ UW - Madison Fall 2019

online data stream classification by using MOA(Massive Online Analysis).

Naive Bayes Analytics Plugins: NaiveBayesTrainer and NaiveBayesClassifier plugins

Java Implementation: Bag of Words with Naive Bayes

TextureClassification using Naive Bayes and GLCM for feature extraction

A simple language recognition project

A simple, robust, multi-state Java implementation of the Naive Bayes classification algorithm.

The app which can measure and calculate your risk of hypertension disease

Sharpen your problem solving and data organization skills using Java data structures and algorithms

Implementation of Naive Bayes and Logistic Regression Algorithms for Assignment 02 in the course CS6375: Machine Learning.

A Java naive bayes classifier implementation.

Language Identification using Näive Bayes