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Opossum

Blue eyes are captivating and rare in the animal kingdom, especially when it comes to lions. Typically, lions have golden or amber-colored eyes, which help them blend into their surroundings and are ideal for their hunting lifestyle. However, blue eyes can occur, but under very specific circumstances and usually only at certain stages in a […]

See Manta Ray in Maldives 🇲🇻

Abstract We describe here a new species of gigantic otter, Enhydriodon dikikae , sp. nov. , from the Pliocene of Dikika, in the l...

Amazon.com: Bigcardesigns Women' Girl's T-Shirt with Animl Cat Dog Print: Clothing

Decision trees are the fundamental building block of gradient boosting machines and Random Forests(tm), probably the two most popular machine learning models for structured data. Visualizing decision trees is a tremendous aid when learning how these models work and when interpreting models. Unfortunately, current visualization packages are rudimentary and not immediately helpful to the novice. For example, we couldn't find a library that visualizes how decision nodes split up the feature space. So, we've created a general package (part of the animl library) for scikit-learn decision tree visualization and model interpretation.