Albert_Shuxiang_Li
Albert Shuxiang Li
Recently Published
Coursera Data Science Capstone Project
author: Albert Shuxiang Li
date: 04 May 2016 (after course)
Coursera Data Science Capstone Project Week 2 Milestone Report
Coursera, Data Science, Capstone Project, Week 2,
Milestone Report.
Albert Shuxiang Li, 20 March 2016
Predict Compressor Stall Fault
Innovative ARIMA-LRM Method for Turbofan Aircraft Engines;
by "Albert Shuxiang Li, A Systems Engineering Engineer".
Published on 14 February 2016.
AFTER COURSE CLOSED - PRACTICAL MACHINE LEARNING PROJECT
Optionally, varImp method used to select 9 predictors, the Radon Forest accuracy is 97.37%.
NOAA Storm Data Analysis
This is for my further reference. I am interested to do more analysis without the restriction of 3 figures in the assignment (Coursera - Reproducible Research). It's fun to have more examples with the applications of dplyr and ggplot2