dataset creation using image dataset and then labelling it and training and testing prediction accuracy validation svm and random forest
$30-250 USD
Paid on delivery
I am looking for some researcher experienced person who can create image dataset and classifying it in two classes 1 or 0. Also requires when one image data is created it should be used to build train svm and random forest classifier . prediction accuracy should be accurate and validation if needed .I am attaching dummy feature data. plots to be plotted where needed . speed check is also required .
Project ID: #11858774
About the project
14 freelancers are bidding on average $190 for this job
I am an expert in data mining and predictive modeling. I have a PhD in Physics and I have extensive experience in machine learning applications, statistics and software development (web, mobile, desktop, SaaS). I work More
Hello As much as I understood you need a classifier based on SVM or Random Forest to classify from a set of images between two sets. That is quite general requirement more information is needed to elaborate what mod More
Hi, I have read and understood the project description and possess the skills required to meet your needs. Please give me a chance and reply. A trial will convince you. Thanks.
I can do this project for you. I have experience in Machine Learning, including RF and SVM. As I do not have any ratings, I offer you this for a low price. Notice I will do the programming in R and or C# (not Matlab).
I have a vast experience in matlab as my thesis was based in PSO. I have also carried out projects on SVM, C4.5 and neural networks. I will deliver your work with maximum satisfaction and low cost.
- have a experience on related subject -good knowledge and understand of SVM - currently working on classification project on MIT arrhythmia dataset - interested and motivated on the project
