A Survey on Machine Learning Algorithms for Their Development & Implementation provides an overview of key machine learning techniques, their practical applications, and the challenges organizations face when deploying them. The report examines the growing importance of machine learning in analyzing large datasets, supporting predictions, and enabling data-driven decisions across industries. It highlights critical implementation considerations, including model explainability, performance evaluation, regulatory compliance, and the management of big data. The survey reviews widely used algorithms such as Lasso and Logistic Regression, Neural Networks, and Decision Trees, outlining their strengths, limitations, and appropriate use cases. It also discusses the methodologies and assumptions inv

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