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• Build machine learning designs in Python making use of well-known machine learning libraries NumPy and scikit-understand.

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• Use unsupervised learning techniques for unsupervised learning: which includes clustering and anomaly detection.

These classes are optional and are not necessary to finish the Specialization or implement machine learning to serious-globe assignments.

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Just about every lesson commences with a visible representation of machine learning concepts as well as a large-degree explanation from the intuition at the rear of them. It then presents the check here code to help you implement these algorithms and extra video clips describing the underlying math if you want to dive deeper.

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