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big data help

$30-250 USD

In Progress
Posted over 5 years ago

$30-250 USD

Paid on delivery
implementing a decision tree for training decision tree model and classifying new data
Project ID: 17771337

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3 proposals
Remote project
Active 6 yrs ago

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My primary professional tool sets are C++, C#, Python, and MATLAB. Beyond the languages themselves, I work with many popular libraries including Boost, Numpy, Pandas, Scikit-Learn, Matplotlib, TensorFlow, Eigen, Google Test and Google Mock. Finally, I also pride myself on being formally trained in UML, industrial design patterns, and software architecture. I rapidly make myself essential to any team working at the cutting edge of computer vision, machine learning, or robotics, fitting any role from traditional software development, to data processing, analysis, and machine learning. Presently, I am working under the guidance of Frank Delgado and Matthew Noyes at NASA Johnson Space Center’s Hybrid Reality Lab on the Pupillary Response Classification Project (PRCP). The aim of the PRCP is to develop a recurrent neural network (RNN) that can deduce an astronaut’s mental effort by observing the diameter of the subject’s retina. In order to achieve this, I am implementing a library for extracting, cleaning, normalizing, and classifying pupillary response data. This work will empower NASA’s Flight Surgeons to preemptively manage crew mental health and stress levels.
$155 USD in 3 days
0.0 (0 reviews)
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3 freelancers are bidding on average $216 USD for this job
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Hello sir I am a qualified python developer with 8 years of professional experience. I have made many classification models and I am very familiar with decision tree. I am interested in this project and can start the work right now. Looking forward to hearing from you soon. Best Regards, Yongtao
$250 USD in 3 days
5.0 (70 reviews)
6.8
6.8
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I CAN help you with your project friend. I am a machine leaner and I can sure give you the desire result for your project. Cheers!
$244 USD in 3 days
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Cumming, United States
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Member since Sep 15, 2018

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