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app3.py

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

maas.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:da9cbab516498a8858352d566f3e2107efcef38ee6f5bfa29447b186de3638ac
+size 592

requirements.txt

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+streamlit
+scikit-learn
+pickle
+pandas