Kaggle Competition + Report


This final project is on data science modeling. Select any competition from Kaggle


[url removed, login to view] . Please select one that is most interesting

to you and feasible for you to complete by May 12th/Thursday. Enter the competition.

After the submission of your Kaggle competition, write a 10-page final report. I’ll grade your project based on both your competition results and the summary report.

Most Kaggle competition problems are hard to solve. You do not need to obtain the best results and achieve the best ranking. Instead, try to use a math modeling approach to establish a procedure to solve a Kaggle problem. Since you have limited time, you may have to make some very restrictive assumptions to simplify your problem and make the problem solvable. Use a PAMMI procedures of using math modeling skills to solve a problem, rather than on the best results.

The format of the report with PAMMI procedures imbedded inside is as follows:

1. Title page: : This includes the title of the report, author’s name, affiliation (you may

use the name of your fictional consulting company’s name and your can home address),

contact information (email, phone, and website), and date. This is a single page. You need

to read the materials first. From your reading, you can determine a science problem to

solve, find data, setup a model, solve the problem, and conclude and discuss. You can write

a tentative title and revise it after you finish the report body.

2. Executive summary (or called Abstract) ): Limited to one page about the main results

and conclusion of your report, using one paragraph or at most two. The abstract is another

single page. Write this one after you have written the report body.

3. Introduction section : This is the first two steps (P: problem identification, i.e., a

statement of the problem; and A: abstraction of the problem, i.e., selection of a math

modeling method) of the 5-step PAMMI math modeling approach. Describe the

background, objectives, and main methods and conclusions. You need to cite at least one

reference (e.g., your data source). This section is about 1-2 pages.

4. Data and method section : This section is basically Step 3 (M: model formulation)

and part of Step 4 (M: model solution) of the 5-step approach: formulate the mathematics

equations for the problem, and describe the mathematical formulas including the

mathematical solution of the modeling equations. The section should include the data, at

least one diagram and a set of formulas, including the derivation of mathematics results.

5. Results section : This section includes Steps 4 (M: model solution) and 5 (I:

interpretation of the model and its results) of the 5-step approach and should have

mathematical and numerical results from the solution of the math equations. The emphasis

is on numerical results. You should attempt to interpret the numerical results using words.

Please make a comprehensive sensitivity analysis. The sensitivity analysis may be the most

valuable information to the general public regarding the question of global warming. This

section should include at least one table and one figure. Figures and tables should be

numbered and captioned. The figure caption is on top of the figure, and the table caption is

the bottom of the table. The captions can be placed at left or right of a figure or a table.

6. Conclusion section and discussion : Summarize your work and discuss other

alternatives to the problem. Discuss pros and cons of your method.

7. References section : List at least four references using a systematic format of citation.

Taidot: Matematiikka, Matlab ja Mathematica, R-ohjelmointikieli, Tilastoanalyysi, Tilastotiede

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Tietoa työnantajasta:
( 4 arvostelua ) San Diego, United States

Projektin tunnus: #10462215

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