Hands-on Tutorials

A deep-dive into Partial Least Squares Regression and Partial Least Squares Discriminant Analysis with full worked-out examples in R and Python

Partial Least Squares
Partial Least Squares
Partial Least Squares — Applied to an Olive Oil and a Meat example — Photo by Calum Lewis on Unsplash

Partial Least Squares

Partial Least Squares against multicollinearity


Theory and application of Multidimensional Scaling. With a fully worked out example in R.

Multidimensional Scaling
Multidimensional Scaling
Multidimensional Scaling — Photo by Stone Hood on Unsplash

Multidimensional Scaling

  • Metric Multidimensional Scaling, also called Principal Coordinate Analysis, is a subtype of Multidimensional Scaling that deals with numerical distances, in which there is no measurement error (you have exactly one distance measure for each pair of items).
  • Nonmetric Multidimensional Scaling is a subcategory of Multidimensional Scaling that deals with non-numerical distances between items, in which there is no measurement error (you have exactly one distance measure for each pair of items).


Hands-on Tutorials

A deep-dive into Principal Coordinates Analysis with R and Python examples on Perceptual Mapping and Product Branding

Principal Coordinates Analysis
Principal Coordinates Analysis
Principal Coordinates Analysis — Photo by Calvin Hanson on Unsplash

Principal Coordinates Analysis

What is Principal Coordinates Analysis?

Principal Coordinates Analysis vs Other Methods


A comprehensive overview of Canonical Correlation Analysis with a full walkthrough of an example in both R and Python

Canonical Correlation Analysis
Canonical Correlation Analysis
Canonical Correlation Analysis — Photo by Alex Presa on Unsplash

Canonical Correlation Analysis

  • Focusing on a dependence relationship, and model the two datasets in a regression-like manner: data set y as a function of data set x.
  • Focusing on the exploration of the relationships between the two datasets without stating any data set as the dependent or the independent variables. …


A comprehensive overview of Structural Equation Modeling with a full walkthrough of an example using both R and Python

Structural Equation Modeling
Structural Equation Modeling
Structural Equation Modeling — Photo by RhondaK Native Florida Folk Artist on Unsplash

What is Structural Equation Modeling?

  • measuring a score on Multiple Choice questionnaires in multiple domains
  • converting those scores into an estimate of Intelligence


Hands-on Tutorials

Covering Lagrange Polynomial Interpolation, Newton Polynomial Interpolation, and Spline Interpolation

Polynomial Interpolation — Photo by Edgar Castrejon on Unsplash

Interpolation

Preparing a data set in Python for following along


With implementations in R and Python

Assumptions of linear regression
Assumptions of linear regression
Assumptions of linear regression — Photo by Denise Chan on Unsplash

Linear regression basics — an example


Learn the difference between PCA and Factor Analysis — and when to use which — with Python and R example code

What is the difference between PCA and Factor Analysis?
What is the difference between PCA and Factor Analysis?
What is the difference between PCA and Factor Analysis? Photo by Austin Distel on Unsplash.

Multivariate Statistics — Reducing the number of variables

Multivariate Statistics deals with the treatment of data sets with a large number of dimensions.


Hands-on Tutorials

Adding API tokens to an AWS API for access management

How to add API Keys to Your AWS API Gateway API?
How to add API Keys to Your AWS API Gateway API?
How to add API Keys to Your AWS API Gateway API? Photo by Glenn Carstens-Peters on Unsplash.


A Full Guide to Waiting Line Models and Queuing Theory

Waiting line models. Photo by Halacious on Unsplash

Introduction to waiting line models

Joos Korstanje

Data Scientist — Machine Learning — R, Python, AWS, SQL

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