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Problem Set 3
Identifying Risky Bank Loans using C5.0 Decision Trees in R
We used the C5.0 algorithm to create a tree to predict whether a loan applicant will default. Using options for boosting and cost-sensitive errors, we were able to improve our accuracy and avoid risky loans that cost the bank more money.
Looking into Streaming Service and their Review Scores
Examining the review scores of movies available through streaming catalogs Nicholas Tantra - s3872989 MATH1324 Assignment 2
DocumeExploration of the the U.S. National Oceanic and Atmospheric Administration’s (NOAA) storm database.nt
Synopsis Storms and other severe weather events can cause both public health and economic problems for communities and municipalities. Many severe events can result in fatalities, injuries, and property damage, and preventing such outcomes to the extent possible is a key concern. This report tracks characteristics of major natural disasters in the United States, from 1950 to 2011, as well the estimates of any fatalities/injuries, and property/crop damage. Each section attempt to explore the natural weather activities across US with particular focus on people and property damage, reflecting on how each natural disaster affect the mentioned factors. The results show a uniform presence of natural disaster that affect the median of both fatalities and injuries totals, with major impacts from tornadoes, heat, floods and lightning. However, below the median the variety of weather conditions is really big, making it harder to forecast fatalities/injuries. To be mentioned, the data quality is not great as data entry appear to be through free text and not close ended submissions. Some fuzzy matching technique was used, however, the results were not satisfactory to be published and only unique weather conditions with at least 1 fatality or 1 injury were selected. Likewise, the report shows the impact of natural disasters for propert/crop value across US, showing some fundamental differences. Property damage appear to have some patterns with fatalities/injuries, and crop damage appears to be influenced by also different weather conditions and presenting a much lower cost impact.
Reproducible Research Project: Severe Weather Event
Report of severe weather event
sdq_rel