R Anomaly Detection in R Introduction Inspired by this Netflix post, I decided to write a post based on this topic using R. There are several nice packages to achieve this goal, the one we´re going to
R Text Mining Analysis: some theory and practice in R Introduction Big Data help us to analyze unstructred data (aka "text" ), with many techniques, in this post it is presented one: Cosine Similarity. There are also other analysts work, who scraped
R {Long Vs. Wide} Data Frames Introduction This is an excellent resource to understand 2 types of data frame format: Long and Wide. Just take a look at figure 1 inside the article Long format: ggplot2 needs in certain
R Introduction to automatic machine learning 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
R Dynamic analysis on outliers Treating outliers Introduction Outliers are the extreme values that a variable has, depending on the model or requirement, it could be necessary to treat them, either transforming or deleting. Variable “Income”