Rob J. Hyndman is Professor of Statistics in the Department of Econometrics and Business Statistics at Monash University. He, together with George Athanasopoulos, has published the freely available book “Forecasting: Principles and Practice”, that can be found here or bought in its paper version at Amazon (amazon.com, amazon.com.uk, amazon.fr) or in its electronic version at …
This post is a slight deviation from the usual Data Science learning path, but I think that there may be something useful also for those wanting to include a bit of interaction in their Jupyter Notebooks. I have started teaching some python to my 14 years old son (on his request), and I decided to start by …
This is the first course of a series of five offered on Coursera by the University of Michigan. The specialization is called “Applied Data Science with Python”. It was the first course I took after I have completed the Data Science Specialization from the Johns Hopkins University on the same platform. The second was completely …
In the words of its creators, SQLite is a self-contained, high-reliability, embedded, full-featured, public-domain, SQL database engine. And apparently is the most used in the world. Libraries exist for interfacing R with SLQLite, the minimum requirement being DBI (A Common Database Interface) and RSQLite (SQLite interface for R). The keyword here is “embedded”. You do …
This JH Data Science capstone project is transforming into a nightmare, especially because of R and tm, which do not do what they are supposed to do. True I have changed architecture and PC in the middle, but this is not the problem. R and R packages like tm evolve fast and sometimes too fast …
R provides several libraries to format tabular output. As I have had the problem of finding one that worked well in all occasions and without too much hassle, I would like to compare, from the point of view of aesthetic and ease of use. I will not use any of the options and parameters. Just …
As I have been playing with R quite a bit and I become rusty with Python, I wanted to see how good the language detection libraries in this environment are and also how they compare with R. I have made a quick search and I found out that langdetect is one derived directly from Google …
I have played a bit with two language detection libraries in R, without going too much in the details of how they work. These are: textcat CLRD The second package does not seem actively maintained, as the last update (version 1.1.0) is now over three years old. It can be however obtained and installed …
I am now aiming at the Capstone project in the Coursera’s Data Science Specialization from Johns Hopkins, to finish the Specialization. The project is focused on predicting the next word that somebody is going to type, based on several databases to be used to build up the prediction algorithm. There is a lot of previous …
This post follows a few older ones I have published on Word Clouds, until now all of them were based on Python code. I like word clouds, not for the information they can communicate, but just for their aesthetics, and until now I was a bit disappointed because in R I could not get the …