Machine Learning (ML) constitutes a subset of Artificial Intelligence (AI) dedicated to the development of computational frameworks capable of autonomous learning from data. Python, an interpreted, high-level, and versatile programming language, serves as a pivotal tool in this endeavor.
The course aims to impart participants with a comprehensive understanding of essential machine learning principles, encompassing algorithms pertinent to both supervised and unsupervised learning paradigms. Topics covered include data preprocessing methodologies, hyper-parameter optimization techniques, and the evaluation of model efficacy. Emphasis will be placed on leveraging diverse Python packages and libraries to facilitate these learning objectives.