This course covers a wide range of machine learning algorithms in R, including a dedicated section on tree-based methods.
Structured path covering Python, ML fundamentals, and deep learning basics for aspiring AI practitioners.
Your first steps into machine learning. Understand supervised and unsupervised learning, train your first models, and build intuition for how algorithms learn from data.
Build on your existing knowledge with intermediate machine learning techniques and real-world applications.
Master advanced machine learning concepts with expert-level content and cutting-edge techniques.
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