Naive Bayes and Decision Tree Classifiers implemented with Scikit-Learn and Graphviz visualization (Datasets - News, Mushroom, Income)

This repository contains an exercise on regression metrics using an income dataset to predict happiness. The exercise includes data preprocessing, model training, evaluation, and visualization.

This repository contains a model for predicting if an individual earns above or below an income threshold

Performing classification tasks with the LibSVM toolkit on four different datasets: Iris, News, Abalone, and Income.

Calculating global and local spatial autocorrelation of income noted per each polish county in 2022 based on Moran's I and LISA statistics. Calculations were conducted using the following packages: pySAL, splot.esda, geopandas.

Refer to README for more info, open .pdf to see report

Group Machine Learning competition code as part of the 2019/20 Machine Learning module at Trinity College Dublin

A data study on the median income of different states in the US.

A tutorial on visualizing pollution burden scores & median income by CA census tract

Individual Machine Learning competition code as part of the 2019/20 Machine Learning module at Trinity College Dublin

Finding Donors for CharityML using supervised learners.