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detect patterns and build predictive models from datasets, evaluate machine learning algorithms, compare the results. K-means and other clustering tools, Neural Networks, Decision trees and ensemble learning, Naïve Bayes Classification, Linear, logistic and nonlinear regression

MATLAB 100.00%

machine_learning-classification's Introduction

These scripts are dedicated to solving Classification problems with Matlab. For Clustering tools please see the adjacent repository. This is how you can detect patterns and build predictive models from your datasets. Several machine learning techniques are available here to quickly explore your data, evaluate machine learning algorithms, compare the results and apply the best machine learning for your problem.

This includes such machine learning techniques as (unsupervised and supervised):

K-means and other clustering tools
Neural Networks
Decision trees and ensemble learning
Naïve Bayes Classification
Linear, logistic and nonlinear regression

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