Analyzing Online Food Blogs with R.
Analysis and modelling of crime in San Francisco using tidyverse functions and XGBoost
We use the tree and linear boosters of the XGBoost package to classify human activity.
As a part of the Data Products project, these slides are the pitch presentation for the Shiny App that illustrates the central limit theorem.
As a part of the course project for Data Products, these slides serve as the pitch presentation for the Shiny App that illustrates the central limit theorem.
In this project, we analyze the U.S. National Oceanic and Atmospheric Administration's (NOAA) storm database. We investigate severe weather events on population health and events that lead to major economic loss. We have found that Tornado, Excessive Heat, TSTM Winds, Flood and Lightning are the events that lead to the most amount of fatalities and injuries. In terms of economic consequences, Flood, Hurricane/Typhoon, Tornado, Storm Surge and Hail are the events that lead to the most property and crop loss.