Update pages/3_Life cycle of ML.py

pages/3_Life cycle of ML.py

@@ -95,88 +95,3 @@ if selected_step:
 
 st.markdown("<hr>", unsafe_allow_html=True)
 
-for step in steps:
-    if st.button(step):
-        if step == "Data Collection":
-            st.experimental_set_query_params(page="Data Collection")
-
-elif page == "Data Collection":
-    st.markdown("<h1>Data Collection</h1>", unsafe_allow_html=True)
-    st.markdown(
-        "<p>Data is the foundational aspect of any ML project. It comes in three primary types: "
-        "Structured, Unstructured, and Semi-Structured data.</p>", 
-        unsafe_allow_html=True
-    )
-
-    if st.button("Structured Data"):
-        st.experimental_set_query_params(page="Structured Data: Excel")
-
-elif page == "Structured Data: Excel":
-    st.markdown("<h1>Structured Data: Excel</h1>", unsafe_allow_html=True)
-    st.write("**What is Excel?**")
-    st.write("Excel files store data in a tabular format, widely used in business and analytics.")
-
-    st.write("**How to read Excel files:**")
-    st.code("""
-# Load an Excel file
-excel_data = pd.read_excel('file.xlsx')
-""", language="python")
-
-    st.write("**Common issues:**")
-    st.write("- Missing headers or irregular data.")
-    st.write("- Multiple sheets requiring separate handling.")
-
-    st.write("**How to handle issues:**")
-    st.write("- Use `sheet_name` to specify sheets.")
-    st.code("""
-data = pd.read_excel('file.xlsx', sheet_name='Sheet1')
-""", language="python")
-
-    st.download_button("Download Documentation", "This is Excel-related documentation.", file_name="Excel_Guide.pdf")
-
-elif page == "Structured Data: CSV":
-    st.markdown("<h1>Structured Data: CSV</h1>", unsafe_allow_html=True)
-    st.write("**What is CSV?**")
-    st.write("CSV files store data as plain text, where columns are separated by commas.")
-
-    st.write("**How to read CSV files:**")
-    st.code("""
-import pandas as pd
-# Load a CSV file
-csv_data = pd.read_csv('file.csv')
-""", language="python")
-
-    st.write("**Common issues:**")
-    st.write("- Encoding problems.")
-    st.write("- Missing values.")
-
-    st.write("**How to handle issues:**")
-    st.write("- Use `encoding` to handle encoding errors.")
-    st.code("""
-data = pd.read_csv('file.csv', encoding='utf-8')
-""", language="python")
-
-    st.download_button("Download Documentation", "This is CSV-related documentation.", file_name="CSV_Guide.pdf")
-
-elif page == "Structured Data: XML":
-    st.markdown("<h1>Structured Data: XML</h1>", unsafe_allow_html=True)
-    st.write("**What is XML?**")
-    st.write("XML files store hierarchical data using tags.")
-
-    st.write("**How to read XML files:**")
-    st.code("""
-# Parse XML data
-from xml.etree import ElementTree
-
-tree = ElementTree.parse('file.xml')
-root = tree.getroot()
-""", language="python")
-
-    st.write("**Common issues:**")
-    st.write("- Nested structures making data extraction complex.")
-
-    st.write("**How to handle issues:**")
-    st.write("- Use libraries like `xml.etree.ElementTree` or `lxml` for parsing.")
-
-    st.download_button("Download Documentation", "This is XML-related documentation.", file_name="XML_Guide.pdf")
-