In this course, learners will explore the fundamentals of Artificial Intelligence (AI) and Machine Learning (ML), starting from basic concepts and progressing to practical implementations. You will learn how machines analyze data, identify patterns, and make predictions using popular algorithms and tools.The course covers core ML concepts such as supervised and unsupervised learning, model training, evaluation, and real-world use cases. By the end of the course, learners will be able to build basic machine learning models and understand how AI is applied in areas like recommendation systems, image recognition, and automation.
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