A basketball story

Storytelling through data. The last four decades of the NBA through visuals, narrative and pictures.

Explaining happiness

Combining datasets, multiple imputation, variable selection and interpretation to find happiness.

Cleaning and understanding survey data

Cleaning survey data with Isolation Forest, understanding and enriching the available dataset through EDA and additional online information.

Which features matter in the NBA?

Feature engineering and selection for predicting regular season NBA games with CatBoost.

Getting hooked with PyTorch and Grad-CAM

Layer visualisation for a Resnet50 model using hooks from Pytorch and Grad-CAM.

The game of kings

EDA and predictive modeling of games played on lichess in the month of September 2020.