A brief introduction to machine learning using the intuition behind decision trees and random forest for non-developers. [Read more...]

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

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Exploratory data analysis, data preparation and model performance using 'funModeling' R package. [Read more...]

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

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

Explore the intersection of concepts like dimension reduction, clustering, data preparation, PCA, HDBSCAN, k-NN, SOM, deep learning...and Carl Sagan! [Read more...]

An overview on error analysis through cross-validation, variance, bias, bootstrapping, accuracy and time dependent predictive models. [Read more...]

Data Science Live Book - Scoring, Model Performance & profiling - Update! [Read more...]

Hi! Well finally there is the first release of this project: An open source book which will hopefully contain some useful resources for those who want to learn some data analysis/machine learning. This release covers a little of data pre... [Read more...]

Introduction Time series has maximum and minimum points as general patterns. Sometimes the noise present on it causes problems to spot general behavior. In this post, we will smooth time series -reducing noise- to maximize the story that data has to tell us. And then, an easy formula will be ... [Read more...]

Time series analysis using max and min to describe brain signal data (event related potential). [Read more...]

Hi there :) This new package -install.packages("funModeling")- tries to cover with simple concepts common tasks in data science. Written like a short tutorial, its focus is on data interpretation and analysis. Below, you'll find a copy-paste... [Read more...]

Hi there :) This new package -install.packages("funModeling")- tries to cover with simple concepts common tasks in data science. Written like a short tutorial, its focus is on data interpretation and analysis. Below, you'll find a copy-paste... [Read more...]

Automatic Machine Learning Introduction Introduction "I want to develop a model that automatically learns over time", a really challenging objective. We'll develop in this post a procedure that loads data, build a model, make predictions and, if so... [Read more...]