Data Science: Predict Damage Costs of Weather Events

버전 1.0.4 (40.2 MB) 작성자: Heather Gorr
Explore data and use machine learning to predict the damage costs of storm events based on location, time of year, and type of event

다운로드 수: 2.1K

업데이트 날짜: 2021/5/21

GitHub에서 호스트

GitHub에서 라이선스 보기

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.

인용 양식

Heather Gorr (2022). Data Science: Predict Damage Costs of Weather Events (https://github.com/mathworks/data-science-predict-weather-events), GitHub. 검색됨 .

MATLAB 릴리스 호환 정보
개발 환경: R2019a
모든 릴리스와 호환
플랫폼 호환성
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.
이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.