Machine Learning course that covers the most effective ML techniques, the theoretical underpinnings of learning, the practical knowledge needed to quickly and powerfully apply these techniques to new problems, and best practices in innovation as it pertains to machine learning and AI.

This repository contains my solutions to the programming assignments in the Machine Learning course. The solutions are all implemented in MATLAB

Let's play with data mining and machine learning concepts!

mathematical modeling of affiliation recomendation problem in a typical social network

Data Mining subject projects

Programming assignments for machine learning course created by Standford University.

A simple machine-learning project, using MATLAB to evaluate a set of classifiers under the same data set.

Graph Spectra

Synthesize, analyze, and visualize biological oceanography data

Research: This repository contains Matlab code for classify Electroencephalography (EEG) Eye state (Open or closed) applying Machine Learning.

Machine Learning

Contoh penerapan data mining menggunakan matlab

Gaussian mixture model for early detection of pattern changes in data streams

Application of principal component analysis (PCA) for feature reduction.

Getting More accuracy and higher performance by the new generation of fuzzy inference systems.

Similar image retrieval using distance measure coded in MATLAB

I tried to implemented two Data Mining theories in Object Detection Problem. One of them is Object Recognition with descriptive statistical feature, and the other one is with Decision Tree.

The commands about Data mining, which are all of the commands do you need to do the data mining.

A new feature selection algorithm, named as Binary Atom Search Optimization (BASO) is applied for feature selection tasks.