On Monday, 30 July 2018, the Asian Institute of Management’s Master of Science in Data Science 2019 students will be presenting their final projects under the Data Mining and Wrangling (DMW) class. Here’s the list of final projects.
Complexity is a very open and engaging field. I am quite hopeful that in the near future, scientists and social scientists of our nation would collaborate and reduce the gap between the “hard” and “soft” sciences, pushing push for more grounded and well thought out policies, taking advantage of what we know about Complexity.
Publishing on GitHub the R code I wrote to visualize an earthquake map, particularly focusing on the disaster event that hit the island province Bohol in 2013.
R Markdown documents written as requirements for some of the courses in Coursera’s Data Science Specialization programme.
I have been receiving requests to release the Python code I wrote to produce the financial network discussed in my previous post titled PSE Correlation-Based Network. Well, here it is! 🙂
In this blog post, I explore the use of networks (minimum spanning trees), as presented by Bonanno et al. in 2003, to quantify relationships of assets listed in the Philippine Stock Exchange.
Metro Manila, Philippines. Generating and visualising a day’s worth of synthetic taxi data.
Sharing some Python recipes I wrote for mining, reading, manipulating, and plotting map data.
I was tasked to come up with a list of all the Python packages we need for this new server we are setting up. Sharing the list below, hoping you’ll find them useful.