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This project involved implementation of genetic algorithm for feature selection which were then passed to random forest classifier to predict trading position for day trading in Equity stock markets to provide an alternate method for current method used in buy and sell model.

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buy-and-sell buy-and-sell-model genetic-algorithm random-forest random-forest-regression genetic-algo-for-feature-selection

feature-selection-using-genetic-algorithm-for-random-forest-classifier-'s Introduction

Hi there ๐Ÿ‘‹

  • ๐Ÿ’ป Currently, I'm a graduate research student at University of British Columbia and work in QSAR lab.
  • ๐Ÿ”ญ Iโ€™m also a Qiskit Advocate at IBM Quantum.
  • ๐ŸŒฑ My interests in quantum computing: quantum algorithms, quantum information and quantum cryptography.
  • โค Apart from quantum computing I'm deeply fascinated by physics, mathematics, linear algebra and astronomy.
  • ๐Ÿ’ฌ Iโ€™m open to collaborate on quantum computing projects.
  • ๐Ÿ“ซ How to reach me : [email protected], LinkedIn
  • โšก I love developing quantum games

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