Week 3: Data Set – Wine!

It’s that time of year to enjoy a nice, full-bodied glass of deep, ruby red wine on a nice evening.

The data set that I wanted to use is the Wine dataset here. I found it while browsing around looking for good data sets and this one seems simple enough for me to properly learn how to recommend data based on input from the user, sort of like a movie recommendation engine. It’s on the Machine Learning Repository.

Alternatively, wine.com has a pretty extensive data set in JSON that I would be able to parse thought. Not sure what would be the best to use.


Enertion: Update 1

I have made a bunch of progress on the project this week. In my research of wearables that you can measure your brain activity, I decided that going with something like the NeuroSky Headset. I have ordered one and will be using it to measure brain activity before, during and after meditation sessions. I have decided against the thermodynamic camera for two reasons, one the price, and two the lack of solid verifiable scientific evidence that it actually works and measures the ‘aura’ around an individual.

I’m developing a method of analysis now to see how I can best measure and discuss energy.



I had a chat with Alex Morrison, who is a research scientist whose research interests include the interaction of cognition with stress and aging and the ability to enhance or protect cognition though mindfulness training and computerized working memory training. She is available to help think through the cognition-related elements of this final.


Meditation Pod

I have built the entire meditation pod in which I’m going to conduct these experiments. You can find the BOM here. Here are some pictures: