dimitris-markopoulos/reference-materials

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dimitris-markopoulos/dimitris-markopoulos

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dimitris-markopoulos/quantitative-finance

A collection of quantitative finance projects covering option pricing, risk analysis, volatility modeling, and investment strategies. Includes Monte Carlo simulations, Black-Scholes & Heston models, the Kelly Criterion, and more.

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dimitris-markopoulos/trees-ensembles-neural-networks

Machine learning models including decision trees, random forests, adaboost, gradient boosting, and neural networks applied to structured data for classification tasks.

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dimitris-markopoulos/latent-semantic-clustering

Clustering book chapters with unsupervised ML—custom EM-GMM, sklearn baselines, and dimensionality reduction.

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dimitris-markopoulos/algorithmic-trading

Applying ML to finance - systematic trading.

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dimitris-markopoulos/MATH5010-Project

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dimitris-markopoulos/mnist-image-classification

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dimitris-markopoulos/Machine-Learning

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dimitris-markopoulos/StatisticalModeling

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dimitris-markopoulos/KellyCriterion

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dimitris-markopoulos/tutorial

My clone repository

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