https://github.com/quantum-software-development/11-datamining_xxxxxx

🪐 11-Data Miining -XXXXXXXXXXXXXXXXXXXXXXXXX
https://github.com/quantum-software-development/11-datamining_xxxxxx

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🪐 11-Data Miining -XXXXXXXXXXXXXXXXXXXXXXXXX

• Host: GitHub
• URL: https://github.com/quantum-software-development/11-datamining_xxxxxx
• Owner: Quantum-Software-Development
• License: mit
• Created: 2025-10-08T16:17:04.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2025-10-08T16:21:27.000Z (4 months ago)
• Last Synced: 2025-10-08T18:38:33.900Z (4 months ago)
• Homepage:
• Size: 12.7 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          



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





#  
 11- [Data Mining]() /  [XXXXXXX]()





[**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/)





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





#






> [!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]().  

>





#







##### 🎶 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)





> [!TIP]

> 

>  This repository is a review of the Statistics course from the undergraduate program Humanities, AI and Data Science at PUC-SP.

>

> ### ☞ **Access Data Mining [Main 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).

>

>



























































## [Bibliography]()

[1](). **Castro, L. N. & Ferrari, D. G.** (2016). *Introduction to Data Mining: Basic Concepts, Algorithms, and Applications*. Saraiva.

[2](). **Ferreira, A. C. P. L. et al.** (2024). *Artificial Intelligence – A Machine Learning Approach*. 2nd Ed. LTC.

[3](). **Larson & Farber** (2015). *Applied Statistics*. Pearson.




### [Complementary Bibliography]()

- THOMAS, C. *Data Mining*. IntechOpen, 2018.  

- HUTTER, F.; KOTTHOFF, L.; VANSCHOREN, J. *Automated Machine Learning: Methods, Systems, Challenges*. Springer Nature, 2019.  

- NETTO, A.; MACIEL, F. *Python para Data Science e Machine Learning Descomplicado*. Alta Books, 2021.  

- RUSSELL, S. J.; NORVIG, P. *Artificial Intelligence: A Modern Approach*. GEN LTC, 2022.  

- SUD, K.; ERDOGMUS, P.; KADRY, S. *Introduction to Data Science and Machine Learning*. IntechOpen, 2020.





      





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





#### 
  🛸๋ My Contacts [Hub](https://linktr.ee/fabianacampanari)




### 
 






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