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Classification techniques are widely used in enterprise organizations. From the limit of your credit card, to your mortgage amount, as well as the things you see online on your timeline on social media. You might not fully realize it (yet), but all these aspects are determined by classification algorithms. Classification algorithm determine, for a large extent, the content we see, the information that is presented to us, and the decisions we make. But have you ever wondered how these classification algorithms work?

In this webinar, we will present you with a fundamental understanding of classification algorithms. We will discuss how they work, which parameters you need, and what the differences are between different classification algorithms. In the second part of the webinar, we will discuss one of the most widely used (in terms of application) classification algorithms: the K-Nearest Neighbour Classification (k-NN) algorithm. We will showcase how it works, how it helps solve problem, and provide a demonstration in R. After this webinar, you will have the fundamental knowledge to start building classification algorithms by yourself.