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$250-750 USD
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The Project will be coded in Java and will use the source code of machine learning algorithms of WEKA. The ensemble by voting of three classifiers NNGE, MODLEM and OneR will be implemented using the WEKA Java API. The coded ensemble algorithm will take as input a CSV file and data mining will be conducted on this file. The CSV file will be prepared by me. The aim in this project is to implement our version of the ensemble by voting algorithm (NGE, MODLEM and OneR) that when given as input the CSV file, produces the same results as those produced by WEKA. This will prove that using the test sets produced from Malgenome dataset that use malware for which no training was performed, we can achieve accuracy rates up to 100 % for some of the test sets.
Sample code for implementing Naive Bayes on Eclipse can be accessed from the following link:
[url removed, login to view]
Nº del proyecto: #11305281
Sobre el proyecto
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-----------------------------Machine Learning Expert & Pro Java Developer! Best Result in Time!---------------------- Dear, sir. Your project is very interesting to me, because I've really rich experience in Machine Más
6 freelancers están ofertando un promedio de $572 por este trabajo
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Hello, i have a master degree in applied mathematics and i know java, but i have no special knowledge in AI, if you tell me exactly what needs to be coded, i think i can dot it, see you maybe !!
I have 4+ years of java experience. I have been studying machine learning online. I have fair understanding of neural networks, SVM supervised and unsupervised learning techniques.
