Update pages/3_Life Cycle Of ML Project
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pages/3_Life Cycle Of ML Project
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import streamlit as st
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# Function to display content based on button click
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def display_content(stage):
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if stage == "Problem Definition":
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st.markdown("### Problem Definition\nIdentify the problem you want to solve and set clear objectives and success criteria.")
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elif stage == "Data Collection":
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st.markdown("### Data Collection\nGather relevant data from various sources and store it in a structured format.")
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elif stage == "Data Preparation":
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st.markdown("### Data Preparation\nClean, transform, and engineer features from the data to prepare it for modeling.")
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elif stage == "Exploratory Data Analysis (EDA)":
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st.markdown("### Exploratory Data Analysis (EDA)\nVisualize and analyze the data to understand its distributions and relationships.")
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elif stage == "Model Selection":
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st.markdown("### Model Selection\nChoose appropriate machine learning algorithms and develop a baseline model.")
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elif stage == "Model Training":
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st.markdown("### Model Training\nTrain the model using the training data and optimize its parameters.")
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elif stage == "Model Evaluation":
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st.markdown("### Model Evaluation\nAssess the model's performance using various metrics and cross-validation techniques.")
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elif stage == "Model Deployment":
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st.markdown("### Model Deployment\nIntegrate the trained model into a production environment and monitor its performance.")
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elif stage == "Model Maintenance":
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st.markdown("### Model Maintenance\nPeriodically retrain the model with new data and update features as needed.")
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elif stage == "Documentation and Reporting":
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st.markdown("### Documentation and Reporting\nDocument the entire project and share the results and insights with stakeholders.")
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# Title and Introduction
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st.title("Machine Learning Project Lifecycle")
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st.markdown("Click on a stage to learn more about it.")
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# Buttons for each stage
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st.button("Problem Definition", on_click=display_content, args=("Problem Definition",))
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st.button("Data Collection", on_click=display_content, args=("Data Collection",))
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st.button("Data Preparation", on_click=display_content, args=("Data Preparation",))
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st.button("Exploratory Data Analysis (EDA)", on_click=display_content, args=("Exploratory Data Analysis (EDA)",))
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st.button("Model Selection", on_click=display_content, args=("Model Selection",))
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st.button("Model Training", on_click=display_content, args=("Model Training",))
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st.button("Model Evaluation", on_click=display_content, args=("Model Evaluation",))
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st.button("Model Deployment", on_click=display_content, args=("Model Deployment",))
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st.button("Model Maintenance", on_click=display_content, args=("Model Maintenance",))
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st.button("Documentation and Reporting", on_click=display_content, args=("Documentation and Reporting",))
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# Author Details
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author_name = "Your Name"
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author_email = "your.email@example.com"
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author_website = "https://yourwebsite.com"
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st.markdown(
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f"""
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<h3 style='text-align: left; color: green;'>Author Details</h3>
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<p><strong>Author:</strong> {author_name}</p>
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<p><strong>Email:</strong> {author_email}</p>
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<p><strong>Website:</strong> <a href='{author_website}' target='_blank'>Visit Here</a></p>
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""",
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unsafe_allow_html=True
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)
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