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stanleyrazor/README.md

I’m stan, a quantitative analyst with a strong background in analytical techniques (statistical and mathematical modelling) with applications to quantitative finance and epidemiology. I’m passionate about exploring how learning algorithms work — how they learn, adapt, and evolve to tackle real-world challenges.

My interests: Machine Learning probabilistic reasoning information theory Quant Finance Epidemiology.

Blog: https://stanleyrazor.github.io/portfolio


Tools:

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  1. Baloyid/MMED-GROUP-6 Baloyid/MMED-GROUP-6 Public

    Coding for Group , comparing ABM vs ODE

    R 1 2

  2. Spaceship-competition Spaceship-competition Public

    A kaggle competition which i joined.

    R

  3. Text-processing-NLP Text-processing-NLP Public

    NLP introduction by following the book by Julia Silge on TidyText in R

    R