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Python project for the Algorithmic Methods of Data Science class for the MSc. in Data Science at the Sapienza University of Rome. The main purpose of the project is exploring Network concepts like Shortest Walk, Min Cut, Densest Subgraph, etc. and building algorithms to explore these concepts.

License: MIT License

Jupyter Notebook 91.71% Python 8.29%
breadth-first-search community-detection depth-first-search dijkstra-algorithm fibonacci-heap graph-algorithms min-cut

adm-hw5's Introduction

Hello, my name is Miguel Ángel!

BSc. in Physics | MSc. in Data Science Student

  • 🌍  Born in Mexico City, currently based in Rome 🇮🇹
  • 🚀  Currently working as a Data Scientist at Vivanta
  • 🧠  Currently studying a MSc. in Data Science at the Sapienza University of Rome
  • ⚡  Interested in Machine Learning, Network Science, Social Data Science and the Physics of Complex Systems

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C++GitPythonrlangPostgreSQLAmazon Web ServicesMacOSDockerPyTorch

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