Summary

Recently, I was trying to use Cohen’s Kappa as a metric with Keras. I decided I would use the TensorFlow contrib function that already existed. While trying to get TensorFlow working with Keras, I discovered there were no easily-findable documents describing how to do this. The example from Keras’ blog is a few years old, and wasn’t working anymore. So after figuring out how to get TensorFlow working with Keras, I decided to document it (for the children).

Why use TensorFlow with Keras? TF, particularly the contrib portion, has many functions that are not available within Keras’ backend. Ideally you’d want to use Keras’ backend for things like TF functions, but for creating custom loss functions, metrics, or other custom code, it can be nice to use TF’s codebase.

Summary

Maybe you want to see how people are responding to a story or blog of yours – do they love it or hate it; does it make them excited? Maybe you want to detect the tone of people mentioning your company or product. Or perhaps you want to keep tabs on the mood of stocks in order to make money. We can use sentiment analysis for all of these things.

In this multi-part series, we will look at different methods of sentiment and emotion analysis in both Python and R. We will compare performance on a standard dataset, and also scrape our own live tweets for analysis. Finally, we will check performance on stock-related text snippets from news headlines and stocktwits.

Summary

I scraped all of leafly.com’s reviews, as well as 20,000 chemistry measurements of cannabis products. I used the reviews to make a collaborative recommendation engine, as well as a similar-strain recommender (still in progress). While studying the reviews and chemistry, I found that the reviews and chemistry data tend to group best into 3 groups. Two of the groups are similar, but one is a high-CBD group that is talked about a lot for pain and anxiety.

The app is live at cannadvise.me!

Summary

Learn how to use R to explore medium-big, real-world data sets, and how to train an XGBoost model to predict Grupo Bimbo’s sales volume for individual customers.

Summary

Make hydroponics pumps with timers (can be set to arbitrary time on/off).