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This course aims to provide knowledge of basic machine learning models such as regression, decision tree, support vector machine, random forest, decision tree, K-nearest neighbor, etc. using different packages and libraries of Python. The core objective of this course is to prepare participants for real-world applications of machine learning modeling through hands-on exercises and projects.