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1. Bayesian-ML Bayesian-ML Public

   For an assignment at LSE, I deployed and evaluated a number of Bayesian machine-learning techniques based on their capabilities to correctly distinguish benign from malignant tumours.

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2. Modelling-Health-Expenditure---Addressing-potential-endogeneity-with-the-Cosslett-correction Modelling-Health-Expenditure---Addressing-potential-endogeneity-with-the-Cosslett-correction Public

   For a project at the UvA, we aimed to estimate the impact of health insurance on health expenditures amongst men addressing potential endogeneity.

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3. Comparing-hyperparameter-optimisation-algorithms-for-Ridge-and-LASSO Comparing-hyperparameter-optimisation-algorithms-for-Ridge-and-LASSO Public

   For a project at the UvA, we compared different hyperparameter selection algorithms for the well-reknown regularisation techniques Ridge and LASSO regression.

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4. Music-Genre-Classification-using-Deep-Learning Music-Genre-Classification-using-Deep-Learning Public

   For a project at LSE, I compared multiple Deep Learning models to classify and eventually predict music genres based on 30-seconds audio segments.

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5. rainforest-segmentation rainforest-segmentation Public

   Forked from jcblsn/rainforest-segmentation

   A comparison of deep learning segmentation models for deforestation monitoring using multispectral satellite imagery. Research paper and project work completed as part of LSE's ST456 Deep Learning …

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6. Crude-Oil-Forecasting Crude-Oil-Forecasting Public

   For my master's thesis, I investigate the predictive power of several linear and non-linear approaches for crude oil prices, among which linear time series models, neural networks, Gaussian process…

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