Quick introduction to `recipes` package, from the `tidymodels` family, based on one hot encoding. Useful to automatize some data preparation tasks.continue reading.
Author: Pablo Casas
Explora la intersección de conceptos como reducción de dimensiones, clustering, preparación de datos, PCA, HDBSCAN, k-NN, SOM, deep learning….y Carl Sagan!continue reading.
This method can discretize a variable taking into consideration the target variable, similar to what decision tree do but with gain ratio.continue reading.
Analyzing the relationship between the sample size and how it impacts on the accuracy in a classification modelcontinue reading.
tl;dr: A list of useful resources aimed to self-publish a book on Amazon using Bookdown.continue reading.
A brief introduction to machine learning using the intuition behind decision trees and random forest for non-developers.continue reading.
Well, what you hate is the way that math was taught to you. This post is a try to re-discover the beauty of learning math by finding a purpose, using...continue reading.
Exploratory data analysis, data preparation and model performance using ‘funModeling’ R package.continue reading.
New big release (200-pages) in the Data Science Live Book -open source- Download available in PDF, eBook and Kindle versions!continue reading.
Explore the intersection of concepts like dimension reduction, clustering, data preparation, PCA, HDBSCAN, k-NN, SOM, deep learning…and Carl Sagan!continue reading.