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This module introduces the fundamental concepts of Machine Learning and explains how machines learn from data to identify patterns and make predictions. It also covers the major types of Machine Learning, including supervised, unsupervised, semi-supervised and reinforcement learning.
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.
