Python Programming: The Crash Course for Python â Learn the Secrets of Machine Learning, Data Science Analysis and Artificial Intelligence. Introduction to Deep Learning for Beginners by Matthes Marc
Author:Matthes, Marc [Matthes, Marc]
Language: eng
Format: epub
Published: 2019-11-20T16:00:00+00:00
When you are ready to get the predicted class, iteration from one to total number of the data points that you use for training, you can use the following steps to help.
Start by calculating the distance that is in between each of your test data, and each row of your training data. We are going to work with the Euclidean distance as our metric for distance since itâs the most popular method. Some of the other metrics that you may choose to work with here include the cosine and Chebyshev.
Sort the calculated distances going in ascending order, based on their distance values.
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