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  1. Machine Learning project using 15 seasons of NBA data (2005-2020) to predict player position. Decision Trees, Random Forests, Support Vector Machines (SVMs) and Gradient Boosted Trees (GBTs) utiliz…

    Jupyter Notebook 4

  2. Python-written project that utilizes Time Series analysis, along with a Linear Regression model, to forecast the price of the Japanese Yen vs. the US Dollar. ARMA, ARIMA, and GARCH forecasting mode…

    Jupyter Notebook

  3. Stock Portfolio Analysis using Python/Pandas

    Jupyter Notebook 7 1

146 contributions in the last year

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August 1, 2021

fischlerben has no activity yet for this period.

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