Understand the core principles of machine learning and predictive analytics.
• ML concepts and types
• Data preparation
• Algorithms overview
• Model training and evaluation
• Supervised vs unsupervised learning
• Applications in business
• Tools overview
• Case studies
• Practical exercises
• Ethical considerations
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