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Machine Learning and Data Mining Assignment -
Summary - The goal of this assignment is to build a classifier to classify apps from the Apps Market into a set of categories based on their descriptions. The dataset is quite large, so you need to be smart on which method you gonna use and perhaps perform a pre-processing step to reduce the amount of computation. Part of your marks will be a function of the performance of your classifier on the test set.
Task description - Each group consists of 2 or 3 students. Your task is to determine / build classifier for the given data set and write a report.
The report must clearly show
(i) details of your classifier,
(ii) the results from your classifier, including precision and recall results on the training data,
(iii) run-time, and
(iv) hardware and software specifications of the computer that you used for performance evaluations.
Attachment:- Assignment File.rar
Please say the minimum time of completion!! You should form groups on your own. Once you have found 1 or 2 other group members, go to Canvas and join a group under “People” tab in Canvas. Select an empty group and join. Do not form a group if you do not know any other person who would join you. Do not join groups that you have not confirmed with other members to be part of.
The timestamp of your final edit (regardless of WHAT kind of edit it is) will be taken as your submission time. This means that if you submit on 1:00 pm on 7th, but edit the file at 5:30 pm to correct a misspelling in your first name, the submission of your assignment is considered at 5:30 pm and you will lose 20% of the marks. A penalty of MINUS 20 points per each day after the due date.
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