We need to use a dataset into training and testing sets to create a classifer. Then we use this classifier to classify some other dataset.
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I'm Masters in Electrical Engg. You can check my work on neural networks in my portfolio. Looking forward to work with you.
Based on experience, I think an adaptive boosting approach would be a good generic classifier, although with more details I may be able to suggest something more appropriate. If you have more specific information, Daha Fazla
I recently received my masters degree in Computational Neuroscience - I do machine learning. I just completed a $1300 neural network project. I would be happy to help out with this one too. :) Thanks, Joe
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I am a computer science grad student at the University of Chicago, after two years working on machine learning for a medical company. I have also spent several years in diverse tutoring and writing positions. Quality a Daha Fazla
I am a machine learning researcher and have extensively designed hybrid classifiers for large scale datasets. I am quite familiar with the methodology applied for training a model and applying the same to test datasets Daha Fazla
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Please forward me further details and I will take a look to see if what you are hoping to do is feasible. I hope the 'training/test' dataset is similar to the 'other' dataset that you are trying to classify, else the r Daha Fazla
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Hello, I am an electrical engineer with master in embedded systems. I have done in a past project exactly what you [login to view URL] your pm.
Hi! What kind of data should be processed? Texts, images or something else? Thank you!