Implementing SVM classifier and Kernel technique from scratch.

Implemented a SVM classifier from scratch utilizing Gradient Descent optimization.

Implemented a Square Kernel from scratch for obtaining decision boundary of random generated data.

Exercise is a part of ML Assignments from SHALA(Stay at Home And Learn AI) Initiative by Prof. Amit Sethi IIT Bombay, 2020

Result for Square Kernel

Input: Linearly inseparable data:

Output: Data points after applying Square kernel:

Result for SVM Classifer boundary generation.

Visualizing SVM Classifer boundary and actual boundary line from which data is generated: