Update pages/Life Cycle Of Machine Learning.py

pages/Life Cycle Of Machine Learning.py

@@ -2,7 +2,19 @@ import streamlit as st
 import numpy as np 
 import pandas as pd
 
-st.header(":red[**Life Cycle Oof Machine Learning Project**]")
+st.header(":red[**Life Cycle Of Machine Learning Project**]")
 st.write(":blue[Click the button below to explore detailed steps involved in an ML project:]")
 if st.button("Problem Statement"):
-    st.write("Problem Statement")
+    st.write("""A problem statement in machine learning defines the specific issue you want to solve using data and machine learning techniques. It should clearly explain:
+    - What the problem is
+    - Why solving it is important
+    - What data is available
+    - What the expected outcome will look like
+    """)
+    st.write("""Examples of ML Problem Statements:
+    **Predicting House Prices:**
+    - Problem: We want to predict the price of houses based on features like size, location, number of bedrooms, etc.
+    - Why: This helps buyers make informed decisions and real estate agents price houses correctly.
+    - Data: Historical data about house prices and their features.
+    - Expected Outcome: A model that predicts the price of a house given its features.
+    """)