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This module introduces the fundamental concepts, evolution and importance of Artificial Intelligence. It also explores practical applications of AI across agriculture, healthcare, education, finance, business, manufacturing and everyday life.
This course introduces the fundamentals of Artificial Intelligence and Machine Learning, covering AI concepts and applications, types of machine learning, Python programming, essential libraries, dataset handling, data preprocessing, feature engineering, supervised and unsupervised learning, dimensionality reduction, model evaluation and deep learning. It equips learners with practical knowledge and essential skills to analyse data, develop machine learning models and apply AI-based solutions to real-world problems.
