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    • A first step into Machine Learning: Building a Bayes Classifier

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      In machine learning and statistics , classification is the problem of identifying to which of a set of categories (sub-populations) a new observation belongs, on the basis of a training set of data containing observations (or instances

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      5· 5. Dataset loading utilities The sklearn.datasets package embeds some small toy datasets as introduced in the Getting Started section. To evaluate the impact of the scale of the dataset (n_samples and n_features

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    • How To Build a Machine Learning Classifier in Python

      3· Machine learning is a research field in computer science, artificial intelligence, and statistics. The focus of machine learning is to train algorithms to learn patterns and make predictions from data. Machine learning is

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