This post explains the theory behind the Support Vector Machine (SVM) algorithm and provides a step-by-step tutorial on how to implement it using Python. It covers the concept of SVM, the math behind it, and the implementation details. The post also includes an example of applying SVM to the Iris dataset, achieving 100% accuracy.
Table of contents
1. What are Support Vector Machines?2. The Math behind SVM3. Implementing the Algorithm4. Applying it to the Iris dataset5. Conclusions and Next Steps7 Impressions