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Binary Classification Usinig 6 Machine Learning Tools, R, and Rmarkdown by Matt Curcio

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a1_mcc_project

M Curcio

This folder contains original data, R scripts (.rmd) and output files (.html) used for this machine learning investigation. The investigation is to investigate different ML techniques and determine if they discriminate between two classes of proteins, myoglobin and non-myoglobin proteins. The investigation includes a comparison of PCA "outliers" versus 6 ML model False-Negative/False-Positives groupings. ML models include; PCA, Logit, NN-AE, SVM.

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/00-data Original data, etc.
01-introduction.rmd
02-eda.rmd
03-pca.rmd
04-logit.rmd
05-neural_network.rmd
06-svm-total.rmd
07-results.rmd
08-conclusion.rmd
90-all-appendices.rmd
a1_mcc_project.Rproj RStudio project file
index.rmd
README.md

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Binary Classification Usinig 6 Machine Learning Tools, R, and Rmarkdown by Matt Curcio

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