In this video, you are going to be introduced to the third step of the standard process for building machine learning models: Model training. In general, model training involves implementing machine learning algorithms that allow a computer to learn to make predictions. At this stage the algorithms are chosen and the necessary conditions for their application are guaranteed. In practice, model training can be done in several ways. The procedure we use here is based on the usage of the scikit-learn library.


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