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In this course, you will :
- Discover the fundamentals of using logistic regression and support vector machines (SVMs) to solve classification problems.
- Learn about the conceptual framework that underpins logistic regression and SVMs.
- You will learn about logistic regression in depth.
- Learn everything there is to know about support vector machines.
- Tuning hyperparameters for these models and using kernels to fit non-linear decision boundaries will be covered.
Syllabus :
- Applying logistic regression and SVM
- Loss functions
- Logistic regression
- Support Vector Machines
