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bc50a9f
1
Parent(s):
67fdf96
added video
Browse files
app.py
CHANGED
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@@ -42,9 +42,12 @@ if tabs == "Overview":
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st.write("""
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This app demonstrates the use of uplift modeling to understand the effect of different actions (like promotions) on customer behavior. We generate a simulated dataset and use it to train a model that predicts the uplift effect of different treatments on customer behavior. We then evaluate the model using the Qini curve, which measures the uplift effect of a model compared to a random model.
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""")
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st.write("To get started, select the 'Data generation' tab from the sidebar.")
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if tabs == "Data generation":
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st.write("""
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This app demonstrates the use of uplift modeling to understand the effect of different actions (like promotions) on customer behavior. We generate a simulated dataset and use it to train a model that predicts the uplift effect of different treatments on customer behavior. We then evaluate the model using the Qini curve, which measures the uplift effect of a model compared to a random model.
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""")
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VIDEO_URL = "https://www.youtube.com/watch?v=AIL0QZWSWBY"
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st.video(VIDEO_URL)
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st.write("To get started, select the 'Data generation' tab from the sidebar.")
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st.write("For more details, reach out to info@neurons-lab.com")
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if tabs == "Data generation":
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