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online-retail-segmentasyon/ ├── kmeans_model.pkl ├── scaler.pkl ├── README.md ├── sample_input.json ← Örnek: {"Recency": 20, "Frequency": 5, "Monetary": 1000}

🧠 Online Retail Müşteri Segmentasyon Modeli (K-Means)

Bu model, RFM (Recency, Frequency, Monetary) bilgilerine göre müşterileri segmentlere ayırır. Eğitilmiş bir K-Means modelidir.

🔢 Girdi

{
  "Recency": 20,
  "Frequency": 5,
  "Monetary": 1000
}


🛠️ Nasıl Kullanılır?
import joblib
import numpy as np

model = joblib.load("kmeans_model.pkl")
scaler = joblib.load("scaler.pkl")

data = scaler.transform([[20, 5, 1000]])
segment = model.predict(data)[0]
print("Segment:", segment)

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