Create Life Cycle of ML.py

pages/Life Cycle of ML.py

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+
+Main Application File (app.py)
+python
+Copy code
+import streamlit as st
+import os
+
+# Sidebar for navigation
+st.sidebar.title("Navigation")
+page = st.sidebar.radio("Go to:", ["Life Cycle of ML", "Data Collection"])
+
+if page == "Life Cycle of ML":
+    st.title("Life Cycle of Machine Learning")
+    st.write("Explore the steps involved in the Machine Learning lifecycle.")
+    if st.button("Data Collection"):
+        st.experimental_set_query_params(page="data_collection")
+
+elif page == "Data Collection":
+    st.title("Data Collection")
+    st.write("Explore the types of data and formats involved in Machine Learning.")
+    st.write("### Types of Data:")
+    data_type = st.radio("Choose a data type:", ["Structured", "Unstructured", "Semi-Structured"])
+
+    if data_type == "Structured":
+        st.write("### Structured Data Formats:")
+        format_selected = st.radio("Choose a data format:", ["Excel", "CSV", "SQL Database"])
+        if format_selected == "Excel":
+            st.experimental_set_query_params(page="structured_excel")
+
+# Handling query parameters for structured data navigation
+query_params = st.experimental_get_query_params()
+if query_params.get("page", [None])[0] == "structured_excel":
+    st.title("Excel Data Format")
+    st.write("#### What is Excel?")
+    st.write("""
+        Excel is a widely used file format for storing structured data in tabular format.
+        Common extensions include `.xlsx` and `.xls`.
+    """)
+
+    st.write("#### How to Read Excel Files?")
+    st.code("""
+    import pandas as pd
+    df = pd.read_excel("file.xlsx")
+    print(df.head())
+    """)
+
+    st.write("#### Common Issues with Excel Files:")
+    st.markdown("""
+    - Missing data or corrupted files
+    - Encoding issues
+    - Unsupported Excel versions
+    """)
+
+    st.write("#### How to Overcome These Issues?")
+    st.markdown("""
+    - Use data validation tools to clean Excel files.
+    - Specify encoding explicitly when reading files.
+    - Convert to a supported format if needed.
+    """)
+
+    # Button to download a Jupyter Notebook or PDF
+    st.markdown("### Download Coding Guide:")
+    if st.button("Download Jupyter Notebook"):
+        # Provide a downloadable file
+        file_path = "Excel_guide.ipynb"  # Ensure this file exists in the app directory
+        with open(file_path, "rb") as file:
+            st.download_button(
+                label="Download Excel Guide",
+                data=file,
+                file_name="Excel_guide.ipynb",
+                mime="application/octet-stream",
+            )