Naive Bayes and Decision Tree Classifiers implemented with Scikit-Learn and Graphviz visualization (Datasets - News, Mushroom, Income)
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Updated
Dec 12, 2018 - Python
Naive Bayes and Decision Tree Classifiers implemented with Scikit-Learn and Graphviz visualization (Datasets - News, Mushroom, Income)
Performing classification tasks with the LibSVM toolkit on four different datasets: Iris, News, Abalone, and Income.
This repository contains a model for predicting if an individual earns above or below an income threshold
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.
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.
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