haroldeustaquio/Data-Mining-UNAM

This repository showcases projects from the Data Mining course at UNAM, Mexico. It includes analyses of customer behavior, sales transactions, and a sequence-to-sequence model for text generation based on the Harry Potter series, all developed and presented throughout the semester.

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This collection of projects helps businesses understand customer behavior and sales trends from their transaction data, or analyze patient data for healthcare insights. By inputting raw sales transactions or patient records, you can gain actionable insights like purchasing patterns, future sales forecasts, or patient segments. Business analysts, marketing managers, and healthcare administrators would use these tools.

No commits in the last 6 months.

Use this if you need to extract meaningful patterns from sales, transaction, or patient data to inform strategic decisions in retail, marketing, or healthcare.

Not ideal if you are looking for a ready-to-use application; this project provides analytical code examples rather than a deployed solution.

customer-behavior-analysis sales-forecasting market-basket-analysis healthcare-analytics patient-segmentation
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 13 / 25

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Stars

10

Forks

2

Language

Jupyter Notebook

License

MIT

Last pushed

Dec 02, 2024

Commits (30d)

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