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**\[[🇧🇷 Português](README.pt_BR.md)\] \[**[🇺🇸 English](README.md)**\]**


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# 5- [Data Mining XXXXXXXXX]()



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[**Institution:**]() Pontifical Catholic University of São Paulo (PUC-SP)
[**School:**]() Faculty of Interdisciplinary Studies
[**Program:**]() Humanistic AI and Data Science
[**Semester:**]() 2nd Semester 2025
Professor: [***Professor Doctor in Mathematics Daniel Rodrigues da Silva***](https://www.linkedin.com/in/daniel-rodrigues-048654a5/)

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#### <p align="center"> [![Sponsor Quantum Software Development](https://img.shields.io/badge/Sponsor-Quantum%20Software%20Development-brightgreen?logo=GitHub)](https://github.com/sponsors/Quantum-Software-Development)


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> [!IMPORTANT]
>
> ⚠️ Heads Up
>
> * Projects and deliverables may be made [publicly available]() whenever possible.
> * The course emphasizes [**practical, hands-on experience**]() with real datasets to simulate professional consulting scenarios in the fields of **Data Analysis and Data Mining** for partner organizations and institutions affiliated with the university.
> * All activities comply with the [**academic and ethical guidelines of PUC-SP**]().
> * Any content not authorized for public disclosure will remain [**confidential**]() and securely stored in [private repositories]().
>


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##### 🎶 Prelude Suite no.1 (J. S. Bach) - [Sound Design Remix]()

https://github.com/user-attachments/assets/4ccd316b-74a1-4bae-9bc7-1c705be80498

#### 📺 For better resolution, watch the video on [YouTube.](https://youtu.be/_ytC6S4oDbM)


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> [!TIP]
>
> This repository is a review of the Statistics course from the undergraduate program Humanities, AI and Data Science at PUC-SP.
>
> [Access Main Data Mining Repository](https://github.com/Quantum-Software-Development/1-Main_DataMining_Repository)
>
> If you’d like to explore the full materials from the 1st year (not only the review), you can visit the complete repository [here](https://github.com/FabianaCampanari/PracticalStats-PUCSP-2024).
>
>



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## [Bibliography]()


[1](). **Castro, L. N. & Ferrari, D. G.** (2016). *Introdução à mineração de dados: conceitos básicos, algoritmos e aplicações*. Saraiva.

[2](). **Ferreira, A. C. P. L. et al.** (2024). *Inteligência Artificial - Uma Abordagem de Aprendizado de Máquina*. 2nd Ed. LTC.

[3](). **Larson & Farber** (2015). *Estatística Aplicada*. Pearson.


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## 💌 [Let the data flow... Ping Me !](mailto:fabicampanari@proton.me)

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#### <p align="center"> 🛸๋ My Contacts [Hub](https://linktr.ee/fabianacampanari)


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### <p align="center"> <img src="https://github.com/user-attachments/assets/517fc573-7607-4c5d-82a7-38383cc0537d" />




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<p align="center"> ────────────── 🔭⋆ ──────────────


<p align="center"> ➣➢➤ <a href="#top">Back to Top </a>

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<!-- Programmers and artists are the only professionals whose hobby is their profession."

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##### <p align="center">( Rafael Lain ) </p> -->

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###### <p align="center"> Copyright 2025 Quantum Software Development. Code released under the [MIT License license.](https://github.com/Quantum-Software-Development/Math/blob/3bf8270ca09d3848f2bf22f9ac89368e52a2fb66/LICENSE)