Machine Learning and AI: Support Vector Machines in Python

 

Machine Learning and AI: Support Vector Machines in Python

Artificial Intelligence and Data Science Algorithms in Python for Classification and Regression

The course “Machine Learning and AI: Support Vector Machines in Python” on Udemy teaches students about Support Vector Machines (SVM), which are one of the most powerful machine learning models around. The course covers topics such as SVM classification, SVM regression, kernel SVM, and more. The course is designed for students who have some experience with Python programming and want to learn about machine learning with SVMs

What you'll learn

• Apply SVMs to practical applications: image recognition, spam detection, medical diagnosis, and regression analysis
• Understand the theory behind SVMs from scratch (basic geometry)
• Use Lagrangian Duality to derive the Kernel SVM
• Understand how Quadratic Programming is applied to SVM
• Support Vector Regression
• Polynomial Kernel, Gaussian Kernel, and Sigmoid Kernel
• Build your own RBF Network and other Neural Networks based on SVM

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