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MAT$1008$ HOMEWORK

The aim of this homework is to predict customer churn based on historical customer data by using machine learning methods. The homework will adhere to a conventional workflow commonly seen in machine learning projects, which includes data preprocessing, model building, evaluation, reporting and presenting your work.

DATA SET GENERATION

First, generate your INDIVIDUAL customer data using your Student ID$.$ The data consists of $1000$ data instances and $10$ features, each storing a different type of information about the customers.

CreditScore: The customer's credit score at the time of data collection.

Location: The customer's country or region.

Age: The customer's age.

EducationLevel: The customer's education level.

CustomerName: The customer's name.

Tenure: The number of years the customer has been with the bank.

Balance: The customer's account balance.

IsActiveMember: Indicates whether the customer is an active member $($yes$)$ or not $($no$).$

EstimatedSalary: The customer's estimated salary in thousand dollars.

Churn: The target variable, indicating whether the customer has churned $($yes$)$ or not $($no$).$

REPORT

Once you generated the data, apply AT LEAST TWO machine learning methods covered in the lectures to predict which customer$($s$)$ to Churn. Compare and discuss the results in a Report. The Report may include the following parts:

Problem Definition $($describing the problem at hand and the aim of the work$)$

Solution Methodology $($a description of your machine learning models, why you choose them, how you apply them, the results of your experiments, including numbers, visualizations, and interpretations as appropriate$)$

Comparison of the models $($describing how you measure goodness of the models and how you get final decision of your work$)$

Conclusion $($summarizing your work with a result$)$

PRESENTATION

Present your work in the class with a $5-$minute talk in the REVERSE ORDER of submission. That is$,$ if you submit it early, then you will present in the $2^{nd}$ round; if you submit it late, then you will present in the $1^{st}$ round.I will announce the presentation list when submission is closed.

Due Dates

Report & Presentation Submission $($via Itslearning$)$

Presentation

Presentation

Important Notes

Important Notes

You need to submit BOTH Report and Presentation Slides.

LATE SUBMISSION is not allowed.

Submitting but NOT attending the Presentation leads ZERO POINT for the overall homework score.

There is NO MAKE$-$UP for the Presentations.