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Mary E. Rodgers's Projects

finalproject_pca_ml_logisticregression_transcriptdata icon finalproject_pca_ml_logisticregression_transcriptdata

Morphological and summary level transcript data obtained from kaggle was analyzed through the use of a principal component analysis that was then analyzed using a machine learning approach to logistic regression to see what predicted speech language impairment in a sample of 534 children's transcripts.

ml_regressionmodel icon ml_regressionmodel

This is my current work on the second project for my data analytics course. The data set came from kaggle.com from user DG0KE1.

nlp-analysis-using-spacy---dependency-parsing icon nlp-analysis-using-spacy---dependency-parsing

This repository contains the code used to extract the nominal subject parsing count from adult utterances. The relationship between caregivers trained in EMT and child language outcomes were assessed. This will be the foundation for further code that will identify unique nominal subjects and unique subject/verb combinations.

pca_linearregression icon pca_linearregression

This repository contains the original .csv, the output .csv, and the .rmd, and .html files used for assignment three of my data analytics course. For assignment three, we conducted a PCA and ran a linear regression using machine learning.

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