Whether we are iterating over performance models or presenting to clients, data scientists utilize visualizations regularly. While there are many visualization libraries available to us, Yellowbrick serves as a natural extension to scikit-learn’s modeling process and assists with model interpretation and tuning.
“Visualization gives you answers to questions you didn’t know you had.”
— Ben Schneiderman
This post is to serve as an introduction to Yellowbrick and display a few ways in which it can simplify the process of visualizing the results of various classification models.
I will be using Pandas and NumPy to assist with data frame manipulation and…
I am not an expert in mathematics. I am not an expert in science or statistics. Honestly, I feel uncomfortable saying I’m an expert in anything. However, I can say that I am proficient at a few things: learning is on that list.
Studying, teaching and performing music has taught me many things, but learning how to learn has been one of the most valuable byproducts. As a professional musician, you have to adapt and learn on the fly. If unsuccessful, that could mean the difference in being hired or not. Preparation is paramount. …
Greetings data science community! My name is Alex. I am a data scientist and classical musician.
Prior to March 2020 I would have called myself a classical musician only. March 13, 2020 is still fresh in my mind. I was sitting in the back row on the stage of Meymandi Concert Hall.
I was serving as the Associate Principal Trumpet of the North Carolina Symphony. I was in rehearsal for the upcoming weekend’s concert series, Thibaudet Performs Ravel, with Grant Llewellyn conducting. This was truly one of the best concert cycles I can remember playing. The literature was beautiful and…
Data scientist and classical musician based in Raleigh, NC.