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Practical Machine Learning Project with XGBoost
The goal of the project is to use data from accelerometers on the belt, forearm, arm, and dumbell of 6 participants. Build Machine Learning model and predicting activity quality (`classe` outcome) from the activity monitors (the features or predictors) by using XGBoost extreme gradient boosting.
Storm Events with Most Effects on Population Health, and Economic Consequences
Coursera, Johns Hopkins, Reproducible Research Project 2.
How To Handle Exponent Value of PROPDMGEXP and CROPDMGEXP
Analysis on how to resolve C/PROPDMGEXP values of the StormData.csv database of the US NOAA.