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Materials for ESMT master lecture Introduction to Machine Learning

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// repository documentation

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# Introduction to Machine Learning

Welcome to the repository for the "Introduction to Machine Learning " course offered at [ESMT](https://esmt.berlin/) to students in the [Master of Analytics and AI](https://esmt.berlin/degrees/master-programs/master-analytics-artificial-intelligence) master program.

This repository augments the lecture by providing access to all materials for the practice sessions.

For enrolled students, additional resources, updates, and discussions are available on our [Moodle course page](https://moodle.esmt.org/moodle/course/view.php?id=13203&section=12).

## Repository Structure

```
.
├── data                    # Folder containing datasets used in tutorials
├── notebooks      # Jupyter notebooks comprising demos and exercises for the practice sessions
├── LICENSE                 # License file for the repository
├── README.md               # The file you are currently reading
├── env.yaml           # Conda environment file for setting up the workspace
└── requirements.txt        # List of Python dependencies necessary for the practicals

```

## License

This project is licensed under the terms of the [MIT License](./LICENSE).

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