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  • šŸ‘‹ Hi, Iā€™m Jun Yuan.
  • šŸ‘€ Iā€™m interested in data science, machine learning,
  • šŸŒ± Iā€™m currently revising Linear Algebra, Calculus, Statistics, and learning about quantitative finance.
  • šŸ’žļø Iā€™m looking to collaborate on data science projects.
  • šŸ“« You can reach me at [email protected]

JY's Projects

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All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.

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Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

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The simplest way to run LLaMA on your local machine

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In this project, we will explore the usage of Principal Component Analysis to model market behavior within an industry. Furthermore, we will explore the interpretation of top eigenvectors as portfolios to create trading strategies.

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Python Codes from following coursera course - Introduction to Portfolio Construction and Analysis with Python

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Inference code for LLaMA models

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Accompanying source codes for my book 'Mastering Python for Finance'.

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Final Year Business Analytics Applied Project (ANL488) at Singapore University of Social Sciences (SUSS).

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