ProfessorEaston
R Notebooks Introduction Part 2: Creating and Using R Notebooks
R Notebooks Introduction Part 1: Background
Prof. Easton Flying in the Vertical Wind Tunnel
Factors in R
Coding Categorical Variables in Regression: Indicator or Dummy Variables
The Bias Variance Tradeoff, Cross Validation, and Overfitting (Part2)
Bias vs. Variance Tradeoff, Cross-Validation, and Overfitting (Part 1)
Python With Spyder 14: If Statements
Python With Spyder 13: For Loops
Python With Spyder 12: Dictionaries
AWS Windows Instance Set Up: Wrapping Up
AWS Windows Instance Set Up Step 4: Installing Open Source Software for Data Science
AWS Windows Instance Set Up Step 3: Connecting to an AWS Windows Instance (Revised 8-11-2015)
Python With Spyder 1: First Steps (Updated 7/24/2015)
AWS Windows Instance Set Up Introduction (updated 7/24/2015)
Python With Spyder 9: Objects Part 2 - Attributes and Methods and a Few Spyder "Tricks"
Python With Spyder 8: Python Objects Part 1 (Revised 7/17/2015)
Python With Spyder 7: The Idea of Objects (Updated 7/16/15)
Six Sigma Statistics: Factorial Designs Part 4
The Pareto Principle in Six Sigma
Six Sigma Statistics: Factorial Designs Part 3
Six SIgma Statistics: Factorial Designs Part 2
Six Sigma Statistics: Factorial Designs Part 1
Amazon Web Services (AWS): Attach Volume to Windows Instance
Six Sigma Process Performance: Short Term vs Long Term
Six Sigma Green Belt Exam Review: Miscellaneous Non-Technical Topics
Six Sigma Statistics -- Hypothesis Tests: Type I and Type II Error, Alpha, Beta, and Power
Six Sigma Statistics: Statistical Tests For Attribute Data
Six Sigma Green Belt Exam: Hand Calculate Simple Regression Coefficients
Two-Way Analysis of Variance (ANOVA) Part 2