New developed Methods used for Data Science Optimization

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Abstract Nowadays, there is a growing need to introduce new methods and algorithms in the field of data science. Optimization solutions can be utilized to construct data science models. Our primary emphasis lies in the examination and enhancement of cutting-edge techniques and methods utilized in the field of data science, with the aim of effectively tackling problems. These alternatives consist of algorithms that are based on rule based and the different methods of preprocessing for data science that do not rely on derivatives. We think that the best way to reach our goals for making things better was by using machine learning. By utilizing optimization methods and algorithms, it becomes feasible to locate enhanced solutions to problems in machine learning optimization. These methods can lead to increased improvements in how machines learn and apply knowledge.

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