Update Home.py
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Home.py
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@@ -25,9 +25,6 @@ st.markdown("""
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##### π Model Evaluation:
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- <span style="font-size:20px;">Comparing model performance using metrics like **accuracy**, **F1 score**, or **Log-loss score**, depending on the task.</span>
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- <span style="font-size:20px;">Employing techniques like **hyperparameter tuning** and **cross-validation** for optimization.</span>
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##### πΌ Insights and Deployment:
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- <span style="font-size:20px;">Unveiling actionable insights from **feature importance** to guide hotel marketing and pricing strategies.</span>
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- <span style="font-size:20px;">Deploying the model in a user-friendly interface to support stakeholders in making real-time decisions.</span>
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##### By integrating **machine learning** with **data analysis**, this project empowers Electronics market to enhance customer satisfaction, optimize pricing strategies according to purchase intent, and maximize profitability.
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""", unsafe_allow_html=True)
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##### π Model Evaluation:
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- <span style="font-size:20px;">Comparing model performance using metrics like **accuracy**, **F1 score**, or **Log-loss score**, depending on the task.</span>
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- <span style="font-size:20px;">Employing techniques like **hyperparameter tuning** and **cross-validation** for optimization.</span>
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##### By integrating **machine learning** with **data analysis**, this project empowers Electronics market to enhance customer satisfaction, optimize pricing strategies according to purchase intent, and maximize profitability.
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""", unsafe_allow_html=True)
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