Jun 8, 2018

The goal of week 2 of #SoDS18 is to narrow down all of the plans made during the brainstorming sessions from week 1 and plan out how to accomplish those goals. I’ve decided to narrow it down to three main goals to be completed over the 3 months of #SoDS18. These goals are: Build an R Shiny app/dashboard Complete a machine learning competition (and implement multiple models) Learn about deep learning and implement a deep learning model I've got my week 2 plan for #SoDS18 done!

Jun 1, 2018

Starting earlier this week, I decided to participate in the Summer of Data Science 2018 (#SoDS18)! Now that we are into June, I wanted to put up my first post about the Summer of Data Science and my plans. The first week is supposed to be spent brainstorming and looking up resources, so here are some of my ideas. Starting in week 2, I will be narrowing down my focus and making up a plan for the rest of the Summer.

Apr 20, 2018

On April 12th, 2018, Charlottesville and the Tom Tom Founders Festival played host to the second annual Applied Machine Learning Conference (AMLCville). I had the fortune to attend AMLCville and listen to talks on a wide range of topics and get to see the amazing ways that machine learning is being used out in the world. AMLCville was split into three different tracks with topic sessions on natural language processing, health care, computer vision, and geospatial analysis.

Apr 18, 2018

A month ago I asked the #rstats community on Twitter what their favorite package vignette was. While working on a “getting started” vignette myself I realized that I wanted to increase the number of examples I could reference. After not getting much in the way of responses, I thought it would be a great time to put together my own list of favorite R package vignettes. As described by Hadley Wickham in R Packages:

Mar 8, 2018

Last month, I participated in Kaggle’s SQL Scavenger Hunt put together by Kaggle Data Preparation Analyst Rachel Tatman. The SQL Scavenger Hunt served as an introduction to SQL, BigQuery, and the Python package that Kaggle put together to link into their new BigQuery addition. There were 5 different tasks sent out over 5 days to answer some questions making use of SQL and BigQuery. Overall, I thought that the assignments were well written and helped guide me through the questions.