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app3.py

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+import streamlit as st
+import pickle
+
+st.title("Tecrübe, Yazılı 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][0], 2)
+    st.success("Maaş Tahmini: ${}".format(tahmin) )

maas.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0b381deae0708bf81c1ea7834b14c61d8fe7d5572cacf2cb2990f013badd4df0
+size 592

requirements.txt

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+streamlit
+scikit-learn
+pandas
+pickle