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This module introduces the fundamentals of Python programming for Machine Learning, covering variables, data types, operators, conditional statements, loops and functions. It develops the basic programming skills required to write structured Python code and implement Machine Learning tasks.
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.
