In classification, our goal is to assign each observation in the test dataset to one of a number of pre-specified categories. We do so using information from the observed predictor variables (or ...

A cell’s morphology comprises vast amounts of information on cell health and differentiation state and yields insight into cell phenotype. Biologists utilize this information on a daily basis to aid ...

This analysis develops an end-to-end probabilistic classification pipeline for structured tabular data using a Gaussian Naive Bayes model. The focus extends beyonds implementation to evaluating model ...

A reproducible, containerized machine-learning pipeline that classifies Iris flower species from morphological measurements. This version includes full data validation, modular code structure, and ...