This note is a simple demonstration of p-hacking. I argue that if a researcher doesn't decide on the sample size ex ante and keeps collecting data until they reach p <=0.05, the results can be severely misleading.
This deck of slides is a demo of react.js using RMarkdown
This note is derived from Chapter 8 of ggplot2 book authored by Hadley
This is a simple example on using random forest for getting default risk and building credit score. This is a part of the DA 6813 course in UTSA MSDA program.
Example for the UTSA students taking my DA 6813 course
This homework was shared with the students at the beginning of October.
This is the solution of homework #1 for DA 6813
This is a note for the UTSA students taking my DA 6813 course
This note is for the UTSA students taking my Data Analytics Applications (DA 6813) course
Shows you the power of bootstrap
This is a note for the UTSA students taking my DA 6813 course.
This note is for the UTSA students taking my DA 6813 course.
These are class notes for DA 6213 at UTSA.
Hand coding cross-validation in R
This is a flowchart of the methods to use depending on the target variable type. The methods are limited to what we use in the DA 6813 course at UTSA
SVM example for the students of Data Analytics Application course (DA 6813) at the College of Business, UT at San Antonio
K-means clustering on wine quality data