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  1. StockIndicatorsImportances StockIndicatorsImportances Public

    This is a simple experiment designed to uncover which technical indicators are the most important.

    Jupyter Notebook 13 1

  2. AAPL_Machine_Learning_1 AAPL_Machine_Learning_1 Public

    This is a time series model using scikit-learn. It is designed to predict the adjusted close of AAPL stock 10 trading days in the future.

    Jupyter Notebook 9 1

  3. PyTorch-Autoencoder-Latent-Space-Visualization PyTorch-Autoencoder-Latent-Space-Visualization Public

    Python 6 1

  4. electrical_grid_stability electrical_grid_stability Public

    This is a repo for a machine learning project on the UCI electrical grid stability dataset.

    Jupyter Notebook 1

  5. Parkinsons Parkinsons Public

    This is a ML project with the UCI Parkinson's dataset.

    Jupyter Notebook 1

  6. Stock-Prediction-2 Stock-Prediction-2 Public

    This is a short stock prediction example using linear regression to predict the future adjusted closing price of Ford ($F), Ferrari ($RACE), and Tesla ($TSLA).

    Jupyter Notebook 1