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app3.py

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+import streamlit as st
+import pickle
+
+st.title("Tecrübe, sınav ve sözlü sınava göre maaş tahmin eden model :heavy_dollar_sign:")
+model=pickle.load(open("maas.pkl","rb"))
+tecrube=st.number_input("Tecrübe",1,10)
+yazili=st.number_input("Yazılı",1,10)
+mulakat=st.number_input("Mülakat",1,10)
+if st.button("Tahmin Et"):
+    tahmin=model.predict([[tecrube,yazili,mulakat]])
+    tahmin=round(tahmin[0],2)
+    st.success(f"Maaş Tahmin: {tahmin}")

maas.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:dec6768ff831518ca0517418b5f0e1fc9e520b05b442ec45ac12b5159b865210
+size 588