SVM works by finding a hyperplane in an N-dimensional space (N number of features) which fits to the multidimensional data while considering a margin.
In the following example, I am using the IRIS dataset. I have taken the code reference from the repository. Note: tf.disable_v2_behaviour() is used to use the Tensorflow 1 functionalities, as i have Tensorflow 2 installed on my PC. import matplotlib.pyplot as plt import numpy as np ...