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Bayesian-ML
Bayesian-ML PublicFor 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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Modelling-Health-Expenditure---Addressing-potential-endogeneity-with-the-Cosslett-correction
Modelling-Health-Expenditure---Addressing-potential-endogeneity-with-the-Cosslett-correction PublicFor 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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Comparing-hyperparameter-optimisation-algorithms-for-Ridge-and-LASSO
Comparing-hyperparameter-optimisation-algorithms-for-Ridge-and-LASSO PublicFor 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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Music-Genre-Classification-using-Deep-Learning
Music-Genre-Classification-using-Deep-Learning PublicFor 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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rainforest-segmentation
rainforest-segmentation PublicForked 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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Crude-Oil-Forecasting
Crude-Oil-Forecasting PublicFor 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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