In this project, the NSL-KDD dataset must be used to train the SVM(Support Vector Machine) and ANFIS(Adaptive neuro-fuzzy inference system) methods. First, the SVM method should be trained and tested over the dataset. Second, the ANFIS method should be trained and tested over the dataset. At last, I want a hybrid solution for merging these two methods like using clustering for detecting the congestions.
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Hi. I am experienced Python developer with experience in machine learning. Please tell, do you need an application or just algorithms? Please, share the details about budget and deadlines in chat.