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A project applying machine learning methods to classify clouds vs. ice in satellite images.

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STA 521: Project 2 Cloud Data

Project 2 for STA 521, Statistical Learning

Authors: Natalie Smith and Will Tirone

Replication:

To clone the repository:

git clone https://github.com/WillTirone/521_proj2.git

In the scenario that a researcher comes along and needs to use new images, replace the images found in image_data with the new, corrected images, using the same name as the image it is replacing.

To run the main project file, proj2.qmd, simply open the file in your R editor of choice and run all the cells. The project was completed with R version 4.1.3. The libraries required are in the first cell of proj2.qmd, and are as follows if you don't have them installed:

library(factoextra)

library(tidyverse)

library(GGally)

library(caret)

library(lctools)

library(sqldf)

library(latex2exp)

library(tidymodels)

library(patchwork)

library(tree)

library(glmnet)

library(MASS)

library(xgboost)

library(pROC)

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A project applying machine learning methods to classify clouds vs. ice in satellite images.

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