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Peer-graded Assignment: Course Project 2
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 project involves exploring the U.S. National Oceanic and Atmospheric Administration's (NOAA) storm database. This database tracks characteristics of major storms and weather events in the United States, including when and where they occur, as well as estimates of any fatalities, injuries, and property damage.
Plot
Random Forest- Predict the IRIS dataset
Random Forest- Predict the IRIS dataset
Who's Green and Who's Not ?
Presentation white wine
BRP
time series
Random Forest - Predict on Risky Vs Good Customer on Fraud Check Data
To Predict on Risky Vs Good Customers on Fraud Check using Random Forest
Random Forest - Predict on high sales of Company Data
Predict the high sales of Company data using Random Forest
Storm Analysis
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 project involves exploring the U.S. National Oceanic and Atmospheric Administration's (NOAA) storm database. This database tracks characteristics of major storms and weather events in the United States, including when and where they occur, as well as estimates of any fatalities, injuries, and property damage.
NeuralNetwork
Learn-By-Building: Neural Network and Deep Learning
Practical Machine Learning Prooject - Coursera
This is the project assignment for the Practical Machine Learning Project course as part of the Data Science Specialization