Question Description
https://www.kaggle.com/c/
understand the target and complete variables before you start
mini project above
1) use any language(python, sas, r) to provide data structures for all 4datasets but training is most important
2) import or read datasets into the environment
3) Detect missing values for all numeric variables
#missing %missing min max mean N =>table
4) Manipulate categorical variables (dummy, WOE or any other methods)
5) Treat missing values (any method)
6) provide complete data .sasdata ->.csv
7) provide data structure for complete data.
sas program(codes used in the program)->temp output ->data(csv or sas dataset) ->output data structure
the sas program and output structure should be in word files and output indicated that it is the final output
ods output needed in word or powerpoint
On monday
improve some features
do correlation study
feature engineering
consider prediction method
run model
submit result
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