nmiela
Natalia Miela
Recently Published
Document
Causal Machine Learning for Spatial Data- CA housing
R visualisations with ggplot
In this project, we aim to provide insightful and compelling visual representations of various socio-economic and health indicators. Our focus is on analyzing and comparing different aspects of well-being and life satisfaction across selected countries.
PCA and clustering
PCA and clustering on workation data from Kaggle.
Credit risk
Logit model to predict PD based on woe data.
