Malware datasets merge and implement feature selection method

$10-30 USD

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about 3 years ago

$10-30 USD

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The project is to merge dataset or preprocess them to prepare for train and test dataset on machine learning which are the different types families of malware. The aim is to merge two feature selection methods (for example n-gram and Genetic algorithms) to select the relevant ones and discuss the result. Objective is to find a new or enhance method for feature selection which reduce the issues of feature selection such as high diminsitnolity. The dataset used in the below link paper (i had the dataset): [login to view URL]

Machine Learning (ML)

Project ID: 29680467

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Remote project

Active 3 yrs ago

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3 freelancers are bidding on average $42 USD for this job

@SourabhJha007

I have already worked on this data have did a comparative analysis of machine learning models along with deep learning models like randomforest,xgboost,lgbm,lstm,conv-lstm. Along with this I even did an analysis of feature selection and feature reduction. I can provide you the work with utmost perfection and deliver it with in specified time frame.

$70 USD in 5 days

5.0

(3 reviews)

3.7

@msdfernando

Hello, I am a expert in machine learning and python. I read your project and understood the problem. I have done lot of works like your project an i can do it..please put the massage with more details.' thank you

$25 USD in 3 days