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markov-model

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alecpippas / Machine-Learning-Portfolio

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Portfolio of Jupyter Notebooks demonstrating various ML models/concepts learned and developed during my graduate machine learning course and independently post-grad. Generally, a bottom-up modeling approach with Numpy is used to showcase grasp of mathematical foundation. Higher-level libraries (scikit-learn) used for optimized algo implementations.

markov-model gradient-descent kernel-methods polynomial-regression stochastic-gradient-descent simple-linear-regression linear-classifiers kernel-ridge-regression model-order-selection multiple-linear-regression support-vector-machines-svm autoregressive-text-generation linear-time-delay-regression
  • Updated Jul 25, 2025

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