Analyzing Epidemiological Time Series With The R Package {distantia}
Tutorial on the applications of the R package {distantia} to the analysis of epidemiological time series.
Coding a Minimalistic Dynamic Time Warping Library with R
Tutorial on how to implement dynamic time warping in R
A Gentle Intro to Dynamic Time Warping
Brief introduction to Dynamic Time Warping with a conceptual step-by-step break down.
My Reading List: Data Science
Live post with a curated list of high-quality data science posts and videos I found enlightening.
Mapping Categorical Predictors to Numeric With Target Encoding
Target encoding is commonly used to map categorical variables to numeric with the objective of facilitating exploratory data analysis and machine learning modeling. This post covers the basics of this method, and explains how and when to use it.
Everything You Don't Need to Know About Variance Inflation Factors
Deep explanation of what Variance Inflation Factors (VIF) are, how they work, what they really mean, and how they are used to manage multicollinearity in linear models.
Multicollinearity Hinders Model Interpretability
In this post, I delve into the intricacies of model interpretation under the influence of multicollinearity, and use R and a toy data set to demonstrate how this phenomenon impacts both linear and machine learning models.
Designing R Functions to Compute Betadiversity Indices
Brief tutorial on writing R functions to compute betadiversity scores
