Author: Pablo Casas
Tutorial to fastai ULMFiT model for classification texts (and some of the theory behind it) 🤖📚continue reading.
Given certain data, and we need to create models (xgboost, random forest, regression, etc). Each one of them has its constraints regarding data types. Errors are not clear, here’s a...continue reading.
Quick introduction to `recipes` package, from the `tidymodels` family, based on one hot encoding. Useful to automatize some data preparation tasks.continue reading.
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.