From 8ea6e83f428a2248d01f052c57e6e60e3fb63503 Mon Sep 17 00:00:00 2001
From: Muhammed Hamza Tokat <m.hamza.2004tkt@gmail.com>
Date: Tue, 21 Oct 2025 15:48:23 +0300
Subject: [PATCH] Added SVM example implementation

---
 svm.cpp | 38 ++++++++++++++++++++++++++++++++++++++
 1 file changed, 38 insertions(+)
 create mode 100644 svm.cpp

diff --git a/svm.cpp b/svm.cpp
new file mode 100644
index 0000000000..7372d669e2
--- /dev/null
+++ b/svm.cpp
@@ -0,0 +1,38 @@
+#include <iostream>
+#include <vector>
+#include <cmath>
+using namespace std;
+
+// Basit bir linear SVM örneği (öğrenme yok, sadece mantık gösterimi)
+class SVM
+{
+public:
+    vector<double> weights;
+    double bias;
+
+    SVM()
+    {
+        weights = {0.5, -0.3};
+        bias = 0.1;
+    }
+
+    int predict(vector<double> x)
+    {
+        double sum = bias;
+        for (int i = 0; i < x.size(); i++)
+            sum += x[i] * weights[i];
+        return sum >= 0 ? 1 : -1;
+    }
+};
+
+int main()
+{
+    SVM model;
+    vector<vector<double>> data = {{1, 2}, {-1, -2}, {2, 3}, {-2, -3}};
+    for (auto &x : data)
+    {
+        cout << "Prediction for (" << x[0] << ", " << x[1] << "): "
+             << model.predict(x) << endl;
+    }
+    return 0;
+}