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statistical-inference

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In this project, we will construct deep learning models from scratch using NumPy , including linear regression, logistic regression, and neural networks. we also converge parameter estimation, back-propagation, and statistical inference.

  • Updated May 5, 2024
  • Jupyter Notebook

Real-world financial security candlestick data from 10 different securities downloaded from a financial brokerage firm. Evaluated by the ability to predict 'open' prices 9 days into the future following the end of the training data. Model placed 5th out of 40 teams.

  • Updated Oct 19, 2023
  • Jupyter Notebook

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