Update pages/Life cycle of ML.py

pages/Life cycle of ML.py

@@ -1,81 +0,0 @@
-import streamlit as st
-
-def home_page():
-    st.title("Machine Learning Lifecycle")
-    st.write("Explore the stages of a Machine Learning Project Lifecycle.")
-
-    # Buttons for navigation
-    if st.button("1. Problem Definition"):
-        st.experimental_set_query_params(page="problem_definition")
-    if st.button("2. Data Collection"):
-        st.experimental_set_query_params(page="data_collection")
-    if st.button("3. Data Preparation"):
-        st.experimental_set_query_params(page="data_preparation")
-    if st.button("4. Modeling"):
-        st.experimental_set_query_params(page="modeling")
-    if st.button("5. Evaluation"):
-        st.experimental_set_query_params(page="evaluation")
-    if st.button("6. Deployment"):
-        st.experimental_set_query_params(page="deployment")
-
-    st.image("https://via.placeholder.com/800x400?text=ML+Lifecycle", caption="Visual Representation of the ML Lifecycle")
-
-def problem_definition_page():
-    st.title("1. Problem Definition")
-    st.write("Define the problem you are solving with your machine learning model.")
-    st.info("Key Questions: What is the goal? What are the metrics?")
-    st.button("Back to Home", on_click=lambda: st.experimental_set_query_params(page="home"))
-
-def data_collection_page():
-    st.title("2. Data Collection")
-    st.write("Gather data relevant to the problem.")
-    st.info("Focus: Data quality, diversity, and sources.")
-    st.button("Back to Home", on_click=lambda: st.experimental_set_query_params(page="home"))
-
-def data_preparation_page():
-    st.title("3. Data Preparation")
-    st.write("Clean and preprocess the data for analysis.")
-    st.info("Focus: Missing values, normalization, and splitting.")
-    st.button("Back to Home", on_click=lambda: st.experimental_set_query_params(page="home"))
-
-def modeling_page():
-    st.title("4. Modeling")
-    st.write("Train and tune machine learning models.")
-    st.info("Focus: Algorithms, hyperparameters, and feature selection.")
-    st.button("Back to Home", on_click=lambda: st.experimental_set_query_params(page="home"))
-
-def evaluation_page():
-    st.title("5. Evaluation")
-    st.write("Evaluate model performance using metrics.")
-    st.info("Key Metrics: Accuracy, precision, recall, F1-score, etc.")
-    st.button("Back to Home", on_click=lambda: st.experimental_set_query_params(page="home"))
-
-def deployment_page():
-    st.title("6. Deployment")
-    st.write("Deploy the model to production for real-world use.")
-    st.info("Methods: APIs, dashboards, and live systems.")
-    st.button("Back to Home", on_click=lambda: st.experimental_set_query_params(page="home"))
-
-def main():
-    query_params = st.experimental_get_query_params()
-    page = query_params.get("page", ["home"])[0]
-
-    if page == "home":
-        home_page()
-    elif page == "problem_definition":
-        problem_definition_page()
-    elif page == "data_collection":
-        data_collection_page()
-    elif page == "data_preparation":
-        data_preparation_page()
-    elif page == "modeling":
-        modeling_page()
-    elif page == "evaluation":
-        evaluation_page()
-    elif page == "deployment":
-        deployment_page()
-    else:
-        st.error("Page not found!")
-
-if __name__ == "__main__":
-    main()