DATA 640 - Advanced Predictive Modeling - Computer Science Assignment Help

Assignment Task

Tasks:

Use the same data set from previous assignment  Include the problem introduction used in the previous assignment (with any necessary modifications)    

Include the previous description (improved or modified as required) of the variables in the data sets, the number of cases, etc. Include a screenshot of the data (not all cases need be shown, but be sure all relevant variables are visible).   Provide a clear description of the purpose of the models being developed.

Cleanse and modify the data (if necessary) by removing errors, imputing missing values (as appropriate), transforming the variable distributions as necessary, and creating and selecting appropriate variables.   You may use the same section from assignment 1 (with any necessary improvements or modifications).  Investigate and discuss any “feature engineering” done for the data set.

Outline and explain predictive models developed.  Outline prediction models developed.  There should be at least two models developed for each of the model types (bagging, boosting, random forest, gradient boosting). Vary the appropriate parameters of the models accordingly.  Provide a table outlining the models developed (without results) which denotes aspects which differentiate the models (i.e., the differences in the models). 
 

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