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This course provides a comprehensive introduction to machine learning, starting with its basic concepts and applications, moving through different types of regression, and culminating with classification and handling overfitting. Participants will engage in hands-on labs using Python, Jupyter Notebooks, and scikit-learn, ensuring a balance of theoretical understanding and practical skills. Through quizzes and interactive labs, the course ensures a robust understanding of machine learning fundamentals, essential for anyone looking to delve into this field.