The weighted k-nearest neighbors (k-NN) classification algorithm is a relatively simple technique to predict the class of an item based on two or more numeric predictor variables. For example, you ...

Dr. James McCaffrey of Microsoft Research uses Python code samples and screenshots to explain naive Bayes classification, a machine learning technique used to predict the class of an item based on two ...

In previous articles, we learned how to perform advanced, BERT-powered, automated intent classification in Python. We also learned how to automatically populate Google Sheets in Python. One ...

Python dataclasses can make your Python classes less verbose and more powerful at the same time. Here's an introduction to using dataclasses in your Python programs.

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