TL;DR —
An accessible introduction to machine learning - no programming or math required. By the end of this tutorial, you’ll have implemented your first algorithm without touching a single line of code. You don’t have to be a genius or a programmer to understand machine learning. The end goal of the tutorial is to use Machine Learning to build a classification model on a set of real data using an implementation of the k-nearest neighbors (KNN) algorithm. It’s important to remember that machine learning models are only as good as the training data.
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Written by
@oscar-armas-luy
Entrepreneur and hobbyist with interests in personal finance, data science, and cybersecurity.
Topics and
tags
tags
machine-learning|excel|machine-learning-tutorials|knn|classification-tasks|artificial-intelligence|machine-learning-algorithms|hackernoon-top-story|web-monetization|hackernoon-es
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