Sensitivity and specificity for LAMP-PCR-TcHSP70 results in clinical samples

This model predicts whether a permit application will be expedited or not depending on its features in R. The results suggest that the model has a prediction accuracy of 86.4 percent when compared to the test data.

Weather forecasting plays a pivotal role in understanding climatic patterns, preparing for extreme weather events, and optimizing resources across various sectors. This study focuses on Seoul’s weather over a 15-year period (2009–2023), utilizing historical weather data to uncover significant trends and patterns. By analyzing key attributes such as temperature, precipitation, wind speed, and cloud cover, we aim to gain insights into Seoul’s evolving climate and predict future weather conditions.

This article predicts a patient's blood pressure based on their health indicators and lifestyle in R. Our results indicate that the model explains approximately 21% of the variability in the response. To create a better model, we would need to include more predictors that correlate with the response.

Occupancy model for the Douglas's squirrel, Mule deer and American Black Bear

The presentation for the final assignment of Developing Data Products offered by John Hopkins University as part of the Data Science Specialization