Update pages/3_Life Cycle Of ML Project.py

pages/3_Life Cycle Of ML Project.py

@@ -1,6 +1,6 @@
 import streamlit as st
 
-# Initialize session state for page navigation if not already initialized
+# page navigation
 if 'page' not in st.session_state:
     st.session_state.page = "home"  # Default page is "home"
 
@@ -9,11 +9,10 @@ if st.session_state.page == "home":
     st.title(":red[Lifecycle of a Machine Learning Project]")
     st.markdown("Click on a stage to learn more about it.")
     
-    # Button for Data Collection (Redirection happens here)
+
     if st.button(":blue[📊 Data Collection]"):
         st.session_state.page = "data_collection"  # Redirect to 'data_collection' page
         
-    # Buttons for other stages (No redirection for these)
     if st.button(":blue[🌟 Problem Statement]"):
         st.markdown("### Problem Statement\nIdentify the problem you want to solve and set clear objectives and success criteria.")
     if st.button(":blue[🛠️ Simple EDA]"):
@@ -35,9 +34,11 @@ if st.session_state.page == "home":
 
 # Data Collection Page (Triggered when "Data Collection" is clicked)
 elif st.session_state.page == "data_collection":
-    st.title(":red[Data Collection]")
-    st.markdown("### Data Collection\nThis page discusses the process of Data Collection.")
-    st.markdown("Types of Data: Structured, Unstructured, Semi-Structured")
+    st.title(":red[What is Data?]")
+    st.markdown("### What is Data?\nData is a collection of raw information from various sources. On its own, it may not carry any immediate meaning, but when processed and analyzed, it can be used to derive insights, make decisions, and support the development of systems across various fields, such as business, science, engineering, and more.
+
+In the context of Machine Learning (ML), data plays an even more pivotal role. It serves as the input for algorithms, enabling them to learn, predict, and classify based on patterns found in the data. Without data, there is nothing for the ML model to learn from, and consequently, the model cannot make any predictions or inferences.")
+    st.markdown(":red[Types of Data]: Data is divided into Three Types. - Structured, - Unstructured, - Semi-Structured")
     
     # Button for Structured Data
     if st.button(":blue[🌟 Structured Data]"):