The research questions are posed by a phD researcher, and this document comprises of only the data analytics part of the data collected by the researcher. The main objective of this research is to investigate the effect of online digital stories on the perception of the distinction between two similar English consonants, /p/ and /b/, in Saudi kindergarten children (aged between four and five years-old).

The aim of the project (Research) is to implement robust machine learning algorithms to design an efficient prediction model that would accurately predict a patients' need for an ICU within the very first hours after they have been admitted to a hospital.

This Project is a Summary: Major theoretical concepts in Statistical Learning, The Assumptions behind each statistical approach, Resampling and Feature Selection application in the context of each approach. This Project requires further updates.

This RMD is a brief assignment that includes Data Cleaning, Basic Statistics Exploration, Dealing with Outliers, Checking Correlation between Variables, Visualization, and General Linear Regression Models with Cross Validation and Subset Selection.

In this project, I attempt to find an appropriate model that will effectively screen patients for Parkinson’s Disease using their different measurements of speech.

This project makes use of Bioconductor to examine Microarray Gene Expressions of the Human Peripheral Blood from patients with peripheral arterial disease.