🧠 Office Hours Bootcamp - Data Science & AI (Akademi)

Welcome to the Office Hours Bootcamp Repository, dedicated to the Akademi Bootcamp 2025 on Data Science & Artificial Intelligence.
This repository gathers real-world case studies and hands-on labs completed during official office hour sessions.

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📚 About This Repository

This repository serves as a consolidated resource for all practical components covered throughout the bootcamp, including:

• ✔️ Case studies tackled in live sessions
• 🔬 Laboratory notebooks and applied exercises
• 🧪 Experiments conducted during office hours
• 🛠️ Tools and techniques used in modern data workflows

The goal is to reinforce the theoretical concepts delivered during the bootcamp with real-world implementations.

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🗂️ Repository Structure

office-hours-bootcamp/
├── case-studies/          # Real-world data science projects and challenges
│   ├── ...
│   ├── ...
│   └── ...
├── labs/                  # Practical lab notebooks from office hours
│   ├── ...
│   ├── ...
│   └── ...
├── data/              # Sample datasets used in labs and cases
├── requirements.txt       # Python dependencies
└── README.md              # Project documentation (you are here)

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🚀 Technologies Covered

• Data Manipulation: Pandas, NumPy
• Visualization: Matplotlib, Seaborn, Plotly
• Machine Learning: Scikit-learn, XGBoost
• Deep Learning (Optional): TensorFlow, PyTorch
• Model Evaluation: ROC, AUC, Confusion Matrix, Cross-validation
• Deployment (if any): Streamlit, Flask

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🎓 Target Audience

This repository is primarily intended for:

• Bootcamp participants seeking to review materials
• Aspiring data scientists looking for practical examples
• Learners interested in office-hour-style walkthroughs of real case studies

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📦 Installation

# Clone the repository
git clone https://github.com/Geobatpo07/office-hours-bootcamp.git
cd office-hours-bootcamp

# Create a virtual environment
python -m venv env
source env/bin/activate  # or .\env\Scripts\activate on Windows

# Install required packages
pip install -r requirements.txt

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💡 Contributing

This repository is maintained for personal and academic use. Contributions are welcome from fellow bootcamp participants. Please open a pull request or submit issues for improvements.

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📜 License

MIT License. See the LICENSE file for more details.

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🙌 Acknowledgements

Special thanks to Akademi Bootcamp mentors and instructors, and all fellow participants who contributed during office hour sessions.

Maintained with 💙 by Geovany Batista Polo LAGUERRE