⚔️ Support Vector Machines (SVM)

SVMs are the strict border-patrol agents.

🛣️ The Widest Street

An SVM tries to draw the widest possible street between two groups. It uses the "Kernel Trick" to magically warp 2D data into 3D so it can slice complex shapes!

🐍 Python Implementation

from sklearn.svm import SVC

X = [[0, 0], [1, 1], [9, 9], [10, 10]]
y = [0, 0, 1, 1]

# SVC = Support Vector Classifier
# kernel='linear' draws a straight line, 'rbf' allows curvy borders!
svm = SVC(kernel='linear')
svm.fit(X, y)

print("Prediction:", svm.predict([[5, 5]]))