Optimization in Python

Master optimization techniques in Python, from fundamental algorithms to advanced applications, and unlock the power to solve real-world problems efficiently.
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Fundamentals of Optimization and Python Setup

Unit 1: Introduction to Optimization

Unit 2: Setting Up Your Python Environment

Unconstrained and Constrained Optimization Techniques

Unit 1: Unconstrained Optimization Fundamentals

Unit 2: Advanced Unconstrained Optimization

Unit 3: Constrained Optimization Techniques

Linear, Quadratic, and Convex Programming

Unit 1: Introduction to Linear Programming

Unit 2: Quadratic Programming Techniques

Unit 3: Convex Optimization Techniques

Nonlinear, Derivative-Free, and Metaheuristic Optimization

Unit 1: Nonlinear Programming with SciPy

Unit 2: Derivative-Free Optimization

Unit 3: Metaheuristic Optimization

Advanced Optimization Techniques and Applications

Unit 1: Global Optimization Techniques

Unit 2: Optimization in Machine Learning

Unit 3: Hyperparameter Optimization

Unit 4: Real-World Optimization Case Studies

Unit 5: Performance Tuning and Scalability