Update pages/LIFE_CYCLE_OF_MACHINE_LEARNING.py

pages/LIFE_CYCLE_OF_MACHINE_LEARNING.py

@@ -33,7 +33,7 @@ def home_page():
     if st.button(":blue[🛠️ Simple EDA]"):
         st.markdown("### Simple EDA\nPerform exploratory data analysis to understand data distributions and relationships.")
     
-    if st.button(":blue[Data Pre-Processing]"):
+    if st.button(":blue[🧹 Data Pre-Processing]"):
         st.markdown("### Data Pre-Processing\nConvert raw data into cleaned data.")
 
     if st.button(":blue[📈 Exploratory Data Analysis (EDA)]"):
@@ -92,7 +92,6 @@ def structured_data_page():
     if st.button("Back to Data Collection"):
         st.session_state.page = "data_collection"
 
-
 # ----------------- Excel Data Page -----------------
 def excel_page():
     st.title(":green[Excel Data Format]")
@@ -171,18 +170,13 @@ except UnicodeDecodeError:
     print("Error: Encoding issue. Try specifying a different encoding like 'latin1' or 'utf-8'.")
     """, language='python')
 
-    st.markdown("### Tips for Handling CSV Files")
-    st.write("""
-    - Always verify the delimiter used (e.g., commas, semicolons).
-    - Check for encoding compatibility, especially when dealing with international characters.
-    - Handle missing data effectively using functions like `fillna()` or `dropna()`.
-    """)
-
-  st.markdown('[Jupyter Notebook](https://colab.research.google.com/drive/1ZTKWTknL-4IQ9QbAfcyKzIP-_lNxmz2P?usp=sharing)', unsafe_allow_html=True)
+    st.markdown('[Jupyter Notebook](https://colab.research.google.com/drive/1ZTKWTknL-4IQ9QbAfcyKzIP-_lNxmz2P?usp=sharing)')
 
     if st.button("Back to Structured Data"):
         st.session_state.page = "structured_data"
 
+
+
 # ----------------- JSON Data Page -----------------
 def json_page():
     st.title(":green[JSON Data Format]")