Here it comes, summertime. Last year I was particularly active with this Blog and my quest to learn as much as possible about Data Science, Python, R etc. Many MOOCs and books later, and with only the Capstone project that separates me from achieving the Data Science Specialization, I have the need to slow down …
The Coursera JH Data Science Specialization closes with a Capstone Project based on Natural Language Processing. This course is in the references and its lessons are still available for preview but only until the 30 June clicking on the following URL: https://class.coursera.org/nlp/lecture. The lessons in PDF format are still available from Dan Jurafsky at the …
I almost did not notice, but last 15th May was my site’s become one year old! Wow! In one year, this is the basic traffic data: Number of visitors as of now : 3730 Number of visits: 26085 My free hosting profile does not allow me to know from where you visit, I choose to …
During the first week of the “Developing Data Products” MOOC on Coursera, one of the lessons deals with GoogleVis. This is one of the ways to publish and animate your R charts. In practice GoogleVis provides an interface between R and the Google Charts Tools, allowing you to create interactive web charts from R without …
When learning about Data Science, one of the first dilemmas that come to mind is whether to start with Python or R. As a Software developer, I felt I have a natural inclination towards Python, a very elegant programming language that can also be used to do Data Science. But as I got more and …
I was looking for some references and examples in the scope of the “Regression Models” course on Coursera. Something structured that could bridge the gaps in my R knowledge (and they are many) and something that could provide me with a list of case studies. I have already bought a book on this, it is …
I have played a bit with shiny. The RStudio folks provides the possibility of deploying R “Shiny” applications on their server. The final result which will look a lot like this: https://<YourAccount>.shinyapps.io/<YourApp>. There are several plans for this type of deployment, including one that allows you to deploy up to 5 applications for free. You …
While browsing the web in search of supporting material for the “Statistical Inference” course on Coursera, I ended up on this link, which proposed an interactive simulation of the Central Limit Theorem for Means. It works well, it is a nice piece of work. I decided to have a look at the code, since in …
This MOOC is conceptually one of the most interesting ones that I have taken to date. It is based around the implementation of the concept of “Literate Programming”, introduced by Donald Knuth in his 1992 book, in which basically a system where documentation and “live” source code are presented in the same document. In the …
Ok, this is not Data Science. This is just for fun. I have to admit, I tend to mix up things. Here I am mixing up the German class I am taking with one of the visualizations that I prefer, the wordcloud. Not because it conveys a message about data, in this case is just …