Implement Genetic Algorithm along with KNN classification for classification accuracy.
$10-30 USD
Closed
Posted about 2 years ago
$10-30 USD
Paid on delivery
Need an optimal feature selection to maximize the accuracy of classification, and base classifier is KNN . Need to implement gentic algorithm in matlab for it on three different classification datasets based on ADHD or anxiety disorders.
Hi,
I hope you are doing fine.
I have done many projects with Matlab including my masters and PhD thesis. I have also published 20 journal articles almost all of them used matlab.
I have a lot of experience in implementing and testing algorithms, developing the computational codes, performing extensive data analysis and visualization and developing application with graphics user interface.
I'm interested in your project. Please send me a message so that we can discuss more.
Best regards.
Hi, we have developed more projects in MATLAB. Expert in feature selection and Machine learning. if you need any clarification, kindly contact through chat, Thank you.
Dear Employer,
I have extensive experience in Genetic Algorithm and classification using Matlab (eg. KNN, SVM, Gaussian, etc).
Please let me know if you are interested and I would be more than happy to assist you.
Regards
Hey!
I have published some international research using machine learning and deep learning.
I've worked on a number of projects similar to this one.
I have a lot of experience and knowledge in this field.
My knowledge of business also gives me an advantage in this situation.
Looking forward for the opportunity.
Thanks
Hi.Dear...
Nice to meet you.
I saw your project details carefully.
Thanks for your posting.
I am expert in image processing using Machine Learning.
I am working in this this field for 5 years.
I have experiences to develop boundary detection in image processing using Machine Learning, Matlab and Python.
I think that I can complete your project perfectly.
It is my pleasure to work with you.
If you will give me a chance to work with you, you will get satisfied result and I will do my best for you.
Thanks and Regards.