Abstract
Abstract:- In today's context, there is a growing need for the introduction of innovative techniques and algorithms within the realm of data science. Optimization strategies provide a pathway for the development of data science models. Our main focus is on examining and enhancing state-of-the-art techniques and methodologies applied in data science to effectively tackle various challenges. These alternatives include rule-based systems and various preprocessing methods for data science that are independent of derivatives. We assert that the most effective approach to achieving our goals involves the application of machine learning. Utilizing optimization methods and algorithms enables the identification of improved solutions for challenges in machine learning optimization, with the potential to significantly enhance the learning capabilities and knowledge application of machines