I am modeling the popular German credit data using, Decision Trees, Support Vector Machines as standalone classifiers, the homogeneous ensemble of SVMs and random forest and, finally, the ensemble of Support Vector Machines and Decision Tree. The motivation is to establish that heterogeneous ensembles are better predictors than the homogeneous ensemble.
27 freelance font une offre moyenne de $196 pour ce travail
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I plan to use ensemble partial least squares or Deep Neural Network Relevant Skills and Experience I participated in IBM Research Africa in Machine learning hackathon with accepted abstracts in Deep Learning Proposed Plus
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Complete the requirements within agreed time. Relevant Skills and Experience Machine learning, random forest, gradient boosting, SVM, R, Statistical modeling Proposed Milestones $60 USD - Mid-way progress. $60 USD - Plus
I'm an experience machine learning engineer: you can learn more about me at [login to view URL] Relevant Skills and Experience I've modeled lots of different kinds of datasets with all of the classifiers you' Plus
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