Titlebook: Data Science Revealed; With Feature Enginee Tshepo Chris Nokeri Book 2021 Tshepo Chris Nokeri 2021 Machine Learning.Python.Data Science.Dee

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https://doi.org/10.1007/978-3-031-02472-6 supervised learning, we present a model with a set of correct answers, and then we permit it to predict unseen data. Now, let’s turn our attention a little. Imagine we have data with a set of variables and there is no independent variable of concern. In such a situation, we do not develop any plausible assumptions about a phenomenon.

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https://doi.org/10.1007/978-1-4842-6870-4Machine Learning; Python; Data Science; Deep Neural Networks; Regression; Classification; Time Series Anal

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An Introduction to Simple Linear Regression,echniques to help you understand data science from a broad perspective. Not only that, but it provides a theoretical, technical, and mathematical foundation for problem-solving using data science techniques.

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Logistic Regression Analysis,entrated on the parametric method. In supervised learning, we present a model with a set of correct answers, and we then allow a model to predict unseen data. We use the parametric method to solve regression problems (when a dependent variable is a continuous variable).

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Cluster Analysis, supervised learning, we present a model with a set of correct answers, and then we permit it to predict unseen data. Now, let’s turn our attention a little. Imagine we have data with a set of variables and there is no independent variable of concern. In such a situation, we do not develop any plausible assumptions about a phenomenon.

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