Support Vector Machine (SVM)

Support Vector Machine क्या है?

Support Vector Machine ka matlab hai: SVM separates classes by finding the best boundary between data points. Simple words me, ye topic practical Python programs likhne me direct use hota hai.

Is topic ko sirf definition ke liye nahi, balki separating classes jaise real examples ke liye practice karein.

यह क्यों सीखना जरूरी है?

• Ye separating classes me kaam aata hai.
• Ye classification with small datasets se bhi connected hai.
• Isse aap code ka output aur errors better samajh paate hain.

Important Terms

Syntax / Basic Pattern

Basic idea: pehle data तैयार करें, phir Python logic apply करें, aur finally result display करें.

from sklearn.svm import SVC
X = [[1, 2], [2, 3], [6, 7], [7, 8]]
y = [0, 0, 1, 1]
model = SVC(kernel="linear")
model.fit(X, y)
print(model.predict([[5, 6]])[0])

Complete Example Program

from sklearn.svm import SVC

X = [[1, 2], [2, 3], [6, 7], [7, 8]]
y = [0, 0, 1, 1]

model = SVC(kernel="linear")
model.fit(X, y)
print(model.predict([[5, 6]])[0])

Expected Output

Program Explanation

• from sklearn.svm import SVC imports ready-made features from a module/library.
• X = [[1, 2], [2, 3], [6, 7], [7, 8]] stores a value in X.
• y = [0, 0, 1, 1] stores a value in y.
• model = SVC(kernel="linear") stores a value in model.
• model.fit(X, y) performs the next step of the program logic.
• print(model.predict([[5, 6]])[0]) displays information or calculated result on the screen.

Practical Uses

• Separating classes.
• Classification with small datasets.
• High-dimensional feature tasks.

Common Mistakes

• Training and testing the model on the same data.
• Using an algorithm without understanding the input features.
• Reporting only accuracy without checking actual mistakes and limitations.

Practice Tasks

1. Program ko svm.py file me type karke run karein.
2. Values change karke output compare karein.
3. separating classes par ek छोटा example banayen.
4. Logic ko apne words me 5 lines me likhein.

सारांश

Support Vector Machine ko tab complete maanenge jab aap iska meaning, example, output aur practical use clearly explain kar saken.