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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Document.pdf filter=lfs diff=lfs merge=lfs -text

Document.pdf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:016fdaaa0672f4a28eb9e4e70018f3ad9ddda2490e28f952b7aae309e5aaedf3
+size 449260

app.py

@@ -0,0 +1,31 @@
+import streamlit as st
+from joblib import load
+
+model = load("kmeans_model.pkl") 
+
+st.title("Customer Segmentation")
+
+# inputs
+Sex = st.selectbox("gender of a customer",options= ["Male","Female"])
+Sex=1 if Sex=="Male" else 0
+Marital_status = st.selectbox("Marital Status",options= ["Single","Non-single"])
+Marital_status=0 if Sex=="Single" else 1
+Age = st.number_input("age of the customer",min_value=18,max_value=90)
+Education = st.selectbox("Education Level of education of the customer",
+                         options= ["other / unknown","high school","university","graduate school"])
+Education_d={"other / unknown":0,"high school":1,"university":2,"graduate school":3}
+Education = Education_d[Education]
+Income = st.number_input("Self-reported annual income in US dollars of the customer",step=100,min_value=30000)
+Occupation = st.selectbox("occupation of the customer",
+                          options= ["unemployed / unskilled","skilled employee","highly qualified employee"])
+Occupation_d={"unemployed / unskilled":0,"skilled employee":1,"highly qualified employee":2}
+Occupation = Occupation_d[Occupation]
+Settlement_size = st.selectbox("The size of the city that the customer lives in",
+                          options= ["small city","mid-sized city","big city"])
+Settlement_size_d={"small city":0,"mid-sized city":1,"big city":2}
+Settlement_size = Settlement_size_d[Settlement_size]
+values = [Sex,Marital_status,	Age,Education,Income,Occupation,Settlement_size]
+
+if st.button("Predict"):
+    label = model.predict([values])[0]
+    st.success(f"Customer Belongs to Segment *{label}*")

kmeans_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ba771c78aed5dc8f12317b6f60d76eaa0e4606f6879242c61ba38a4e8ab0523
+size 8805

requirements.txt

@@ -0,0 +1,5 @@
+joblib==1.4.2
+numpy==2.2.1
+pandas==2.2.3
+scikit-learn==1.6.1
+streamlit==1.41.1

segmentation%20data.csv

@@ -0,0 +1,2001 @@
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