This is a group project with 3 or 4 members in each group. The project can be focused on either a specific organization or some general research questions. Please prepare the report with the structure below:
Part 0 Project Title, Group Members, Contributions of Each Member
Part I Introduction (10/100)
background of the business/research problems
the research/business questions (at least one regression related question and one classification related question; make sure the questions make sense)
an argument stating the importance of the question
your hypotheses with rationale
Part II Data Preparation and EDA (20/100)
data source (where the data is from) and summary of the data set (#s of obs., variable list with description of the variable & variable type for each variable)
EDA (univariate, bivariate, numerical and graphical, with outputs and comments on the outputs)
Part III Analysis and Findings (50/100) – choose the proper techniques for each business question; variable selection & model building with the findings from Part II taken into consideration, compare and contrast the results using the evaluation and validation techniques covered in the course, the findings
Regression problem: Linear Regression, Generalized Regression
Classification problem: Logistic Regression, Linear Discriminant Analysis, KNN
Part IV Conclusions and Recommendations (15/100)
Conclusion
Recommendations for business/research decisions based on the analysis results
Part V Reference (5/100)
This project will be held to the standards of publishable research, so proper citation and formatting are required.
Please make sure to submit the following files:
the final report
the script file (must be able to reproduce all the analysis outputs/results)
the link of a Zoom cloud-recorded video presentation (15-25 minutes; all group members are required to present; need to show the presenter’s face)
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