Applied Machine Learning
The Machine Learning course provides theoretical and practical foundations needed for success in AI and data science.
Description
The Machine Learning course provides theoretical and practical foundations needed for success in AI and data science. Students learn data preprocessing, supervised and unsupervised learning, neural networks, model evaluation, and industry-standard ML tools. The course includes hands-on projects, preparing learners for roles in AI and analytics
Course Outline
• Foundations of artificial intelligence
• Data preprocessing techniques
• Supervised learning
• Unsupervised learning
• Neural networks
• Model evaluation
• Applied ML with industry tools
• Hands-on ML projects
• Preparing ML models for real-world use
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