K Nearest Neighbors Application Practical Machine Learning Tutorial with Python p. 14
In the last part we introduced Classification, which is a supervised form of machine learning, and explained the K Nearest Neighbors algorithm intuition. In this tutorial, we re actually going to apply a simple example of the algorithm using ScikitLearn, and then in the subsquent tutorials we ll build our own algorithm to learn more about how it works under the hood. To exemplify classification, we re going to use a Breast Cancer Dataset, which is a dataset donated to the University of California, Irvine (UCI) collection from the University of WisconsinMadison. UCI has a large Machine Learning Repository.
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