This project includes implementation of supervised machine learning algorithms in R language.

A basic analysis of poverty with a special emphasis on the United States.

Report on the performance of different machine learning algorithms in identifying persons of interest in the Enron Fraud Case

A novel feature selection algorithm using ACO-Ant Colony Optimization, to extract feature words from a given web page and then to generate an optimal feature set based on ACO Metaheuristics and normalized weight defined as a learning function of their learned weights, position and frequency of feature in the web page. JAVA based ACO Framework

Here you will learn Machine Learning from the start. We have code all the concepts in both python and R.

A java ANN

Project 2 of Udacity MLND.

Hoax Analyner use KNN and Multinomial Naive Bayse

python deep learning classification jupyter notebook

set of algorithms performed to carry out the analysis of the "thyroid-disease" database published in the UCI page

Traffic Sign Classifier using Deep Learning (LeNet Architecture)

Udacity DataScience nanodegree classification problem

An exploratory study of understanding visit patterns of customers at a shopping mall and predicting their visit in the upcoming week.

A simple perceptron implemented in R.

This course covers widely used supervised and unsupervised machine learning algorithms used in industry in technical depth, discussing both the theoretical underpinnings of machine learning techniques and providing hands-on experience in implementing them. Additionally, students will also learn to evaluate effectiveness and avoid common pitfalls…

Study of the paper "On the Optimality of the Simple Bayesian Classifier under Zero-One Loss" by Domigos and Michael Pazzani of the University of California published for the "Machine Learning" international forum in 1997.

A classification Machine learning web application With Django.

AI project using deep learning (CNN) to flower classification