Upload 3 files

app.py

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+import streamlit as st
+import pickle
+
+st.title("Ögrenci not tahmin modeli :100:")
+model=pickle.load(open("not.pkl","rb"))
+ilk_donem=st.number_input("ilk_donem",0,20)
+ikinci_donem=st.number_input("ikinci_donem",0,20)
+ask=st.number_input("ask",0,1)
+internet=st.number_input("internet",0,1)
+calisma_zmn=st.number_input("calisma zamani",1,4)
+if st.button("Tahmin Et"):
+    tahmin=model.predict([[ilk_donem,ikinci_donem,ask,internet,calisma_zmn]])
+    tahmin=round(tahmin[0],2)
+    st.success(f"Not Tahmini:{tahmin}")

not.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8ffef9213e91a9d8b5d794dcfcc3c2861559bcf33f568bfb23c1e2a0411fafb8
+size 614

requirements.txt

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+streamlit
+scikit-learn