Titlebook: Artificial Intelligence with Python; Teik Toe Teoh,Zheng Rong Textbook 2022 The Editor(s) (if applicable) and The Author(s), under exclusi

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Python for Data Analysisid in the data analysis process. Numpy is a powerful set of tools to work with complete data lists efficiently. Pandas is a package designed to make working with “relational” or “labeled” data both easy and intuitive. Finally, Matplotlib is a powerful Python plotting library used for data visualization.

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Regressionion by selecting a vote by majority voting. Neural Networks are a representation of the brain and learns from the data through adjusting weights to minimize the error of prediction. Proper Data Processing techniques can further improve a model’s prediction such as ranking feature importance and outlier removal.

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Expedite Decision in the Crash Failure Modeldistance between classes. Naive Bayes uses Bayes’ Theorem to predict classes under the assumption of independence. Similarly, Data processing techniques can further improve classification performance as well.

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Textbook 2022step manner, to guide and instill confidence in beginners. Complex subjectsin deep learning and machine learning will be broken down into easy-to-digest content and examples. Artificial intelligence implementations will also be shared, allowing beginners to generate their own artificial intelligence

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2730-9908 g and machine learning will be broken down into easy-to-digest content and examples. Artificial intelligence implementations will also be shared, allowing beginners to generate their own artificial intelligence978-981-16-9322-9978-981-16-8615-3Series ISSN 2730-9908 Series E-ISSN 2730-9916

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