Michael

This tutorial covers how to fit a decision tree model using scikit-learn, how to visualize decision trees using matplotlib and graphviz as well as how to visualize individual decision trees from bagged trees or random forests.

The image above is a boxplot. A boxplot is a standardized way of displaying the distribution of data based on a five number summary ("minimum", first quartile (Q1), median, third quartile (Q3), and "maximum"). It can tell you about your outliers and what their values are. It can also tell you if your data is symmetrical, how tightly your data is grouped, and if and how your data is skewed. This tutorial will include: What is a boxplot? Understanding the anatomy of a boxplot by comparing a boxplot against the probability density function for a normal distribution. How do you make and interpret boxplots using Python?

GNU Privacy Guard (GPG, also called GnuPG) is a free encryption software you can use to encrypt and decrypt files. While the documentation for GnuPG is excellent, this is a quick cheatsheet on how to get started with GPG.