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Machine Learning and Applications (23EEE110)
Unit-I: Introduction to Machine Learning
Unit-II: Supervised Learning
Unit-III: Unsupervised Learning
Unit-IV: Dimensionality Reduction Techniques
Unit-V: Applications of ML
Evolutionary Algorithms Applications in Power Engineering (23EEE120)
Unit-I: Fundamentals of Soft Computing Techniques
Unit-II: Genetic Algorithm (GA)
Unit-III: Modified Particle Swarm Optimization
Unit-IV: Differential Evaluation (DE)
Unit-V: Applications to Power Systems
