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