ucm Credit Card Fraud Detection QUestions

Description

The initial exploratory data analysis (EDA) Jupyter Notebook.This preliminary exploration is to help you better understand the dataset and determine if this is a good dataset for your project.

For your project proposal, please use the following questions to guide your writing:

What is your issue of interest (provide sufficient background information)?
Why is this issue important to you and/or to others?
What questions do you have in mind and would like to answer?
Where do you get the data to analyze and help answer your questions (creditability of source, quality of data, size of data, attributes of data. etc.)?
What will be your unit of analysis (for example, patient, organization, or country)? Roughly how many units (observations) do you expect to analyze?
What variables/measures do you plan to use in your analysis (variables should be tied to the questions in #3)?
What kinds of techniques/models do you plan to use (for example, clustering, NLP, ARIMA, etc.)?
How do you plan to develop/apply ML and how you evaluate/compare the performance of the models?
What outcomes do you intend to achieve (better understanding of problems, tools to help solve problems, predictive analytics with practicle applications, etc)?
using and python and implementing in jupyter notebook only

Explanation & Answer:

1 Task

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