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Data Mining in R and Weka

$10-30 USD

Terminado
Publicado hace más de 8 años

$10-30 USD

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You will be working with is a high dimensional dataset (500 features) containing 2000 data instances (records). Each data instance belongs to one of two classes, taking values -1 or +1. This dataset contains a high level of noise (distracting or irrelevant features) which restricts the classification accuracy that can be obtained. At the same time model building time is also high due to the presence of such a large number of features. overall task is to improve performance as much as possible (classification accuracy as well as model building time).
ID del proyecto: 8382068

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5 propuestas
Proyecto remoto
Activo hace 9 años

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English: I have at least 4 years of experience working with weka. I've even developed plugins for weka. I can do the job in two hours or least. Spanish: Tengo al menos 4 años de experiencia de trabajo con weka. He desarrollado incluso plugins para weka. Puedo hacer el trabajo en 2 horas o menos.
$20 USD en 1 día
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5 freelancers están ofertando un promedio de $60 USD por este trabajo
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We would like to take this opportunity to introduce our company. We are Vasquez Data Services, a private company dedicated exclusively to leads generation. We specialize in gather potential clients information according to your criteria and your needs. Always on time, responsible and available to learn.
$25 USD en 3 días
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I'm a PhD student in Engineering with a Master's in Statistics. Expert in Matlab, Econometric and statistical modeling of pretty much everything you can think of. These include expertise on protocol development, research study designs, sample size calculations, data management, and data analysis using various statistical software’s (i.e. STATA, Eviews, R & SPSS), statistical interpretation and report writing also familair with programming language C,C++,C#,. Currently involved in official approval of internal econometric models that banks are using.
$200 USD en 3 días
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I'm a graduate student in the Master in Artificial Intelligence, and I've done previous projects working with Real World datasets. I plan to use statistical techniques to remove the features that contribute the most to the high level of noise in the dataset. Then I'll use Deep Learning models in combination with optimization techniques like cross-validation and others to improve the performance of the model. I'll use the Python language to do the job. So if it is mandatory the use of R and Weka, please do not consider my bid.
$25 USD en 2 días
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Bandera de NEW ZEALAND
Los Angeles, New Zealand
4,8
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Miembro desde jun 17, 2012

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Write some Software
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