# Author: Pablo Casas

## How to apply a function to a matrix/tibble

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

## How to create a sequential model in Keras for R

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

## Sample size and class balance on model performance

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

## How to self-publish a book: Customizing Bookdown

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

## How to self-publish a book: A handy list of resources

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

## Exploratory Data Analysis in R (introduction)

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.

## Tutorial instalación R y RStudio

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

## Introduction to Machine Learning for non-developers

A brief introduction to machine learning using the intuition behind decision trees and random forest for non-developers.continue reading.

## “I hate math!” – Education and Artificial Intelligence to find a meaning in what we do

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.

## Data Science Live Book available at Amazon!

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 with ‘funModeling’

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

## Data discretization made easy with funModeling

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

## Data Science Live Book (open source) ~ new big release! 200-pages

New big release (200-pages) in the Data Science Live Book -open source- Download available in PDF, eBook and Kindle versions!continue reading.

## Playing with dimensions: from Clustering, PCA, t-SNE… to Carl Sagan!

Explore the intersection of concepts like dimension reduction, clustering, data preparation, PCA, HDBSCAN, k-NN, SOM, deep learning…and Carl Sagan!continue reading.