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Statistical Learning Final Project
STAT 0218 Spring 2025
Simple features in R
The *sf* R package provides support for working with the simple features (sf) standard for geographic vector data representation within the R ecosystem. This notebook illustrates a few GIS functionalities within the *sf* package empowered with *tidyverse* packages.
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Dealing with Missing Values: Imputation and Random Forest Modeling on Vermont School Data
The work on this page is an excerpt from an open-note exam for my Statistical Learning course in Spring 2025. This excerpt is meant to show the process of how I create and apply Statistical Learning models, prior to writing a formal report.
Cosoleacaque sem 17-20
Nanchital sem 17-20
Agua Dulce sem 17-20
La Choapas sem 17-20