Having worked with the pumpkin data, we are now familiar enough with it to realize that there's one binary category that we can work with: Color.
Let's build a logistic regression model to predict that, given some variables, what color a given pumpkin is likely to be (orange 🎃 or white 👻).
First We tidy up our Pumpkin Data
Visualization - side-by-side grid using seaborn
Use a swarm plot
Use violin plot
Build model
Building a model to find these binary classification is surprisingly straightforward in Scikit-learn.
using Sklearn models