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Using-the-Streamlit-application-and-machine-learning-project-forecast-and-analyze-customer-Churn

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Justin-J commited on Nov 5, 2023

Commit

5e6910d

1 Parent(s): 0b44005

Changed my project file to give it a more unique and professional look.

Files changed (1) hide show

app.py CHANGED Viewed

@@ -54,7 +54,7 @@ st.title('CUSTOMER CHURN PREDICTION APP (CCPA)')
 # Main page - Churn Prediction
 st.markdown("Churn is a one of the biggest problem in the telecom industry. Research has shown that the average monthly churn rate among the top 4 wireless carriers in the US is 1.9% - 2%")
-st.image("bgg.png", use_column_width=True)
     # How to use
 st.sidebar.image("welcome.png", use_column_width=True)

 # Main page - Churn Prediction
 st.markdown("Churn is a one of the biggest problem in the telecom industry. Research has shown that the average monthly churn rate among the top 4 wireless carriers in the US is 1.9% - 2%")
+st.image("bg.png", use_column_width=True)
     # How to use
 st.sidebar.image("welcome.png", use_column_width=True)