you will use WEKA Tool,1. Use one of the methods to handle missing values in the dataset.
2. Implement the Decision Tree (DT) Algorithm to classify the dataset.
3. Implement the Naïve Bayesian Algorithm to classify the same dataset
4. Compare between the results of both classifiers.
report should be of 1400-1600 words and include the following
o Brief description of the dataset.
o A brief description of the Decision Tree and the Naïve Bayesian algorithms.
o results including elaborations and comments on the produced results.
o implementation and results need to be supported with screenshots.
Hi,
I have experience using Weka, e.g., see this paper published in RecSys Challenge ([login to view URL]) that I used Weka to compare different methods.
$222 USD σε 3 ημέρες
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6 freelancers δίνουν μια μέση προσφορά $183 USD για αυτή τη δουλειά
Hello there, I will like to help you out with this project. I have experience in data mining and I have used Weka before for freelancer.com projects. Also, I have excellent english communication skills so you will be really happy with the report. Hope to hear back from you soon. Thanks
Hi I am Msc in statistics and have very in depth knowledge of machine learning algorithms. I have done several projects using machine learning algorithms and WEKA, R prog and SPSS tools. I have experience of doing 3 masters and 1 PhD level project in the data mining field using the WEKA tool.
Accuracy, quality and professionalism are three aspects which you will experience while working with me. Please check my proposal for reviews about my work on my profile.
Looking forward to discussion.
Best Regards,
Suyash
Hi! I'm engineer in statistics and applied economics. I’m really so glad that to find a project like that in freelancer .in fact, within my training stage in the Moroccan ministry of economics, I’ve done classifications using decision tree algorithm and naive bayyesian algorithm. I'm sure that I can provide you a proper report in suitable deadline.