## Feature Selection using Genetic Algorithms in R

From a gentle introduction to a practical solution, this is a post about feature selection using genetic algorithms in R.continue reading.

From a gentle introduction to a practical solution, this is a post about feature selection using genetic algorithms in R.continue reading.

How to apply a function to a matrix/tibblecontinue reading.

This tutorial will introduce the Deep Learning classification task with Keras. With focus on one-hot encoding, layer shapes, train & model evaluation.continue reading.

Analyzing the relationship between the sample size and how it impacts on the accuracy in a classification modelcontinue reading.

Centered around Bookdown, we will review some non-standard customizations in order to self-publish a book.continue reading.

tl;dr: A list of useful resources aimed to self-publish a book on Amazon using Bookdown.continue reading.

Exploratory data analysis (EDA) the very first step in a data project. We will create a code-template to achieve this with one function.continue reading.

Este tutorial tiene como propósito hacer el set-up inicial para empezar a desarrollar modelos machine learning en increíble lenguaje R.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.

The Data Science Live Book is now available at Amazon! Kindle & Paperback versions! 🚀 Learn Data Science from a practical and intuitive approach using R!continue reading.

Exploratory data analysis, data preparation and model performance using ‘funModeling’ R package.continue reading.

A try to automatize the data preparation discretization stage. Converting numerical variables into categorical to be used in real scenarios.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.