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app.py

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+import streamlit as st
+import pickle
+
+st.title("Kredi Puani Hesaplama modeli :dollar:")
+model=pickle.load(open("credit.pkl","rb"))
+
+Age=st.number_input("Age(Yas)")
+Annual_Income=st.number_input("Annual_Income(Yillik gelir)")
+Num_Bank_Accounts=st.number_input("Num_Bank_Accounts(Banka hesap sayisi)")
+Num_Credit_Card=st.number_input("Num_Credit_Card(Kredi karti sayisi)")
+Interest_Rate=st.number_input("Interest_Rate(Kredi Karti faiz orani)",)
+Num_of_Loan=st.number_input("Num_of_Loan(Kredi Adedi)")
+Delay_from_due_date=st.number_input("Delay_from_due_date(Ödemenin geciktigi ortalama gun)")
+Num_of_Delayed_Payment=st.number_input("Num_of_Delayed_Payment(Geciken Ödeme sayisi)")
+Num_Credit_Inquiries=st.number_input("Num_Credit_Inquiries(Kredi karti sorgulama sayisi)")
+Outstanding_Debt=st.number_input("Outstanding_Debt(Ödenmemiş bakiye)")
+Credit_History_Age=st.number_input("Credit_History_Age(kredi geçmişi yaşı)")
+
+Payment_of_Min_Amount = st.number_input("Payment_of_Min_Amount (Yalnızca minimum tutar mı ödendi?(Yes:1,No:2,NM:0))")
+
+Amount_invested_monthly=st.number_input("Amount_invested_monthly(Aylik yatirilan miktar)")
+Monthly_Balance=st.number_input("Monthly_Balance(hesapda kalan aylık bakiye)")
+
+
+if st.button("Tahmin Et"):
+    # Veriyi 2D dizi olarak hazırlayın
+    input_data = [[Age, Annual_Income, Num_Bank_Accounts, Num_Credit_Card, Interest_Rate, Num_of_Loan, 
+                   Delay_from_due_date, Num_of_Delayed_Payment, Num_Credit_Inquiries, Outstanding_Debt, 
+                   Credit_History_Age, Payment_of_Min_Amount, Amount_invested_monthly, Monthly_Balance]]
+    
+    tahmin = model.predict(input_data)
+    tahmin = int(tahmin[0])  # Tahmin sonucunu tam sayıya çevirin
+
+    class_names = {   
+        2: "Good",
+        1: "Standard",
+        0: "Poor"
+    }
+
+    st.success(class_names[tahmin])

credit.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:860b6543f15959064042aaf76003e59b36fbe521d13bbe9d23fc24be3e32eb21
+size 344758079

requirements.txt

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+streamlit
+scikit-learn