该源代码来源于 MathWorks ；部分数据需要下载，源代码中有下载数据的爬虫脚本，按照说明运行即可。
The goal of this case study is to explore storm events in various locations in the United States and analyze the frequency and damage costs associated with different types of events. A machine learning model is used to predict the damage costs, based on historical data from 1980 - 2020. The calculations are then performed in an app, which can be shared as a web application.
This example also highlights techniques for cleaning data in various forms (numeric, text, categorical, dates and times) and working with large data sets which do not fit into memory.
The example is used in the "Data Science with MATLAB" webinar series.
To get started, run WeatherEvents.prj
Follow along with the example via Main_WeatherEvents.mlx
