Upload 3 files

app3.py

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+import streamlit as st
+import pandas as pd
+import pickle
+import numpy as np
+
+st.title('Tecrübe, Yazılı ve sözlü sınava göre 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('mulakat',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
+pandas