Clustering and Classification of Equipment amended

$30-250 AUD

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před více než 9 roky

$30-250 AUD

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I have a project to detect equipment health. I have an Excel file that contains all the parameters of the equipment. It might contain about 100 rows and 30 columns. Each row is a data record from an equipment and each column is a parameter. The last column is the "Class". I need the MATLAB program to read Excel data and classify the data based using "Trees", preferably Rotation Forest and J48. The MATLAB program should be able to train and test using different excel files (databases). The program should have options to use either Rotation Forest (trees) or SVM. Please give option to select and use either of these 2 classifiers. The second part is to do a clustering on the data from excel file using Fuzzy C means and provide an output. More details are given in the attached project requirement file. I am willing to assist and provide necessary inputs whenever necessary during the project execution.

Matlab and Mathematica

IČ projektu: 6463488

O projektu

8 nabídky

Vzdálený projekt

Aktivní před 10 roky

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8 freelanceři nabízejí v průměru $166 AUD za tuto práci

@ognjen011

A proposal has not yet been provided

$89 AUD v 7 dnech

5,0

(135 recenze)

6,6

@aminariaz

sir i can help you with this project i have experience in this field i can provide examples if you want hopping for your consideration

$100 AUD v 3 dnech

4,9

(102 recenze)

6,1

@jap2013

Hi, If you see my profile you find similar completed project done by me. Please let me know. I can deliver you the matlab code. Thanks.

$88 AUD v 3 dnech

4,9

(18 recenze)

5,6

@Mostafahasan

hi , i can help you in this project , i am a fresh graduated aerospace engineer having 4 years of experience in matlab projects , if you are interested please do not hesitate to contact me .

$111 AUD v 4 dnech

5,0

(46 recenze)

5,2

@zain437

A proposal has not yet been provided

$200 AUD v 3 dnech

4,9

(15 recenze)

4,9

@tkousar

Hi, I have recently completed my MS and my thesis was regarding the classification of encrypted traffic on the basis of traffic analysis. i used machine learning tools for the training and testing of classifiers. I have used Naive Bayes, Multinominal Naive Bayes, Support Vector Machine and Artificial Neural Network based machine learning classifiers for said purpose. I have used WEKA for this and accessed this opensource api from Python Framework. The specific format for WEKA was prepared using Python and then the classifiers were trained and later on tested for accuracy. I can see you have similar project with lesser degree of difficulty. I can provide you the solution in MATLAB and am looking forward to discuss the project Regards

$333 AUD v 10 dnech