Insurance Company Benchmark (COIL 2000) Practice

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About the project

The "Insurance Company Benchmark" database contains a series of records from different clients. Each client record contains sociodemographic attributes and values ​​that indicate the number of policies contracted on different goods.

The business objective is, through the point of view of an insurer, to predict, using the data we have, whether a client will sign a mobile home insurance policy or not.

For this practice, at the moment, we will have to perform only an exploratory data analysis of the dataset.

Find the dataset here

Built with

• Python 3.9.12
• Jupyter Notebook

Content of the repository

• data:

  • Raw: Documents downloaded from the source of the dataset.
  • Processed data: Data dictionay processed.

• docs: Complementary files of the notebook with functions ( Py files).

• notebooks: Notebooks of the project

Roadmap

• EDA
• Data Modelation
• Data Validation
• Deployment & Optimization

Contact

Víctor Viloria Vázquez - victor.viloria@cunef.edu

Project Link: https://github.com/ComputingVictor/Insurance-Company-Benchmark-Practice

Linkedin - https://www.linkedin.com/in/vicviloria/

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