Scikit-learn-classifier

A classifier that uses the scikit-learn library to predict whether the given animal measurements belong to a polar bear or gray wolf. The given measurements are height (m), length (m), and weight (kg).

This specific example uses the decision tree, support vector classification, perceptron, and k nearest neighbor classification algorithms. Each classifier takes two input arrays, the measurements and the labels. The measurements are the dimensions of either a polar bear or a gray wolf. The labels are either ‘polar bear’ or ‘gray wolf’ depending on which of the two the previous measurements belong to. The program then makes a new prediction for each classifier based on new data.

Data taken from:

http://www.wolf.org/wolf-info/basic-wolf-info/wolf-faqs/
https://www.livescience.com/27436-polar-bear-facts.html

Helpful links:

https://www.youtube.com/watch?v=T5pRlIbr6gg
https://github.com/llSourcell/gender_classification_challenge
http://scikit-learn.org/stable/supervised_learning.html