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Data Mining Course - PESC UFRJ

Welcome to the repository for the Data Mining course at the Program Systems Engineering and Computer Science (PESC), Federal University of Rio de Janeiro (UFRJ). This repository contains Jupyter notebooks showcasing various data mining techniques and projects completed during the course.

Projects

  • Project 1: Obesity Level Classification (Folder: project1)
  • Project 2: Store Sales - Time Series Forecasting (Folder: project2)
  • Project 3: Bus Location Predictiong (Folder: project3)
  • Project 4: Clustering MovieLens Data (Folder: project4)

Installation

To run the notebooks, you will need to install the required Python packages. You can install all required packages using the following command:

pip install -r requirements.txt

Create a requirements.txt file in the root of your repository if it doesn't exist and list all necessary packages.

Contributing

Contributions are welcome! Please fork the repository and submit pull requests with any enhancements or bug fixes.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

Acknowledgments

  • Thanks to the professor Zimbrão.
  • Kaggle for providing the datasets used in project 1 and project 2 projects.

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Repository to store the projects of the Data Mining course at PESC UFRJ

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