Machine Learning with Python unlocks the potential to analyze complex data sets, predict outcomes, and automate decision-making processes. This subject encompasses a range of courses from foundational concepts like K-Means clustering and regression analysis to advanced techniques in clustering, regression, and classification. Through feature engineering and practical application of Python, learners will gain hands-on experience in developing, testing, and refining machine learning models. This curriculum is designed to empower participants with the skills to tackle real-world data challenges, leveraging Python’s powerful libraries to extract insights, predict trends, and make data-driven decisions that propel their organizations forward