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wanna help plz
Contributor II
hi all i am student studying information technology
in University of Palestine in Gaza
the teacher want from us project to do on the Rapid Miner
so plz if any 1 can help in finishing it i will be pleased
here is what she want us to do :-
phase( 1)
Get a Data Set from UCI Repository and perform the data description and histogram using Rapid miner , your Description must include:
The name of Data Set
The source of Data Set
The full Description about the Data Set(name and number of instances and attributes , what the attributes mean,and any other information about the data set)
Insight about the data set (histogram)
Don't forget to put the screen shots from RM
********************************
phase (2)
Conduct preprocessing task for the the data set you got in phase 1
If you the data set has missing values then use data cleansing-replace missing values
If not , then use data cleansing- outlier detection (calculate the instances with the missing values and put a screen shot from RM for the outlier results )
************************************
phase (3)
Conduct a classification and clustering tasks for the the data set you got in phase 1,2
DO NOT forget to put the screen shots in your report
can u please use YouTube Comedy Slam Preference Data Data Set
here is it's link
http://archive.ics.uci.edu/ml/datasets/YouTube+Comedy+Slam+Preference+Data#
if any one want to help me here is my e-mail and thnxxx all
ali.h.abuali@gmail.com
in University of Palestine in Gaza
the teacher want from us project to do on the Rapid Miner
so plz if any 1 can help in finishing it i will be pleased
here is what she want us to do :-
phase( 1)
Get a Data Set from UCI Repository and perform the data description and histogram using Rapid miner , your Description must include:
The name of Data Set
The source of Data Set
The full Description about the Data Set(name and number of instances and attributes , what the attributes mean,and any other information about the data set)
Insight about the data set (histogram)
Don't forget to put the screen shots from RM
********************************
phase (2)
Conduct preprocessing task for the the data set you got in phase 1
If you the data set has missing values then use data cleansing-replace missing values
If not , then use data cleansing- outlier detection (calculate the instances with the missing values and put a screen shot from RM for the outlier results )
************************************
phase (3)
Conduct a classification and clustering tasks for the the data set you got in phase 1,2
DO NOT forget to put the screen shots in your report
can u please use YouTube Comedy Slam Preference Data Data Set
here is it's link
http://archive.ics.uci.edu/ml/datasets/YouTube+Comedy+Slam+Preference+Data#
if any one want to help me here is my e-mail and thnxxx all
ali.h.abuali@gmail.com
0
Answers