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This book is aimed at analysts, data scientists, engineers, and other professionals who have an interest in generating advanced models that describe and generalize datasets of interest to them. It is assumed that the reader has basic experience of programming in Python and is familiar with elementary machine learning models. Furthermore, a basic understanding of statistics is assumed, although key points and more advanced concepts are briefly presented. Familiarity with Python's scikit-learn module would be greatly beneficial, although it is not strictly required. A standard Python installation is required. Anaconda Distribution (https://www.anaconda.com/distribution/) greatly simplifies the task of installing and managing the various Python packages, although it is not necessary. Finally, a good Integrated Development Environment (IDE) is extremely useful for managing your code and debugging. In our examples, we usually utilize the Spyder IDE, which can be easily installed through Anaconda.

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