代做Individual Project代做留学生SQL语言程序

Individual Project

The points for this section are distributed as follows: 10 points for the presentation and 10 points for the final report. This project will follow the style. of a three-minute thesis competition. The top 5 presenters and the top 5 reports will each receive a bonus of 1 point.

We will focus on the catalog.csv data, which can be accessed on Canvas.

Variable Name	Description
ID	ID number, it has 6~9 digits.
AGE	Age,the range is from 18 to 75.
INCOME	Annual income,e.g., 63 means 63,000 one year
SEX	M: male; F: female
MARRIED	0: not married; 1: married
FICO	FICO score, the credit score developed by Fair Isaac Corporation.
OWNHOME	Number of the owned home

Target: develop a model to predict FICO scores Requirements:

•    You may fit any model for this prediction task.

•    All analyses should be conducted using SAS EM.

•    Model comparison is necessary to select the best model.

Presentation Guideline (3 minutes):

•    Introduction: introduce the data and main purpose for this analysis.

•    Preparation: explore the data and make them ready for the model fitting.

•    Model: fit the model and explain your model.

•    Assessment: evaluate the performance of the selected mode.

•    Recording: make a recording video for your presentation and submit it through canvas. Due to time constraints, you should focus more on the sections you want to emphasize while providing a general overview of the other parts. The professor and TA will evaluate your presentation. Recordings of the top 5 presenters will be shown as examples in class.

Final Report Guideline (5 pages):

•    Tables and graphs are not included in the page limit.

•    All sections are same in the presentation guideline. In the report, you should give more details for your analysis.

The professor and TA will evaluate your report. The top 5 reports will be shown as examples in class.