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visual-storytelling

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In our "Introduction to Machine Learning" assignment, we have undertaken a comprehensive examination of the fundamental aspects of ML. This exploration spans the foundational principles of probability, advanced data wrangling techniques, the art of visual storytelling, methodologies in clustering and topic modeling, and the neural networks.

  • Updated Jan 5, 2024
  • Jupyter Notebook

DATA-X: m130 - Introduction to Visual Principles Using Matplotlib and Seaborn. Provides users with the necessary foundations for building and understanding current state of the art visualizations. An additional aim is to provide users with an understanding of both the theory and techniques of various visualization paradigms. Finally, this series…

  • Updated Feb 23, 2021
  • Jupyter Notebook

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