Create pages/2 Problem Statement.py

pages/2 Problem Statement.py

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+import streamlit as st
+
+# App Title
+st.title("📄 Problem Statement")
+
+# Problem Statement Content
+st.markdown("""
+### Problem Statement:
+The project management domain involves high variability in estimating project budgets, influenced by numerous parameters such as complexity, stakeholders, integration requirements, and more.
+
+Project teams often struggle with accurate budget forecasting. Similarly, project stakeholders require insights into budget drivers for better resource planning and decision-making.
+
+### Objective:
+- Develop a KNN-based regression model to predict project budgets.
+- Build an interactive Streamlit app for real-time predictions.
+- Demonstrate a full machine learning pipeline: data processing, training, tuning, and deployment.
+
+### Why is this important?
+- Aids in realistic project planning and budget allocation.
+- Helps demonstrate the impact of individual project features on costs.
+- Real-world application of regression modeling in project planning.
+""")
+if st.button("Next >>"):
+    st.switch_page(r"pages/3 Data Understanding.py")
+
+if st.button("<< Back"):
+    st.switch_page("reg.py")