Implementation of a Naive Bayes classifier

My Matlab Ph.D. thesis coding project: the enhanced version of Tree-like Divide to Simplify (T-DTS) ANN (AI/ML) structure-based tool used for classification tasks. The credits: the v.1.0 was developed by Dr. M. Rybnik under supervision of Prof. K. Madani

Machine Learning repo consisting of my codes of learning ML from basics.

Classification pipeline for patient length-of-stay in an ICU

OptimClassifier — Create the Best Train for Classification Models

A k-nearest neighbours classifier that can operate on multidimensional data, no external modules needed.

Identifying donors from Census data

Classification des Commentaires Youtube

Random Forest Classifier

A Naive Bayes SMS spam classifier written in Go.

Reconocimiento automático del estado de muestras de carne basado en su aroma.

This repository contains two models having Two - layers ANN and L - layers ANN respectively to classify Cat photo and Non-Cat photo. This ANN works on the mathematical principles of Logistic Regression and Cross Entropy.

Diabetes Prediction using Classification Algorithm

Data science project

Udacity Computer Vision Nanodegree - Image Captioning Project

Implementation of Linear Ridge regression and Regularized logistic regression

Predict which of two different computer brands that customers tend to prefer.

Some Machine Learning Algorithms implemented in python

Implementation of four classification models from the Scikit-learn library including logistic regression, decision tree classifier, k-neighbors, and c-support vector classification.