Mary E. Rodgers's repositories
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.
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.
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.
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.
DataVisualization
The first assignment in my data analytics course.