Update pages/0_Problem Statement.py

pages/0_Problem Statement.py

@@ -2,4 +2,20 @@ import streamlit as st
 import pandas as pd 
 import numpy as np 
 
-st.markdown("<h1 style='text-align:center; color:red;'>Problem Statement</h1>",unsafe_allow_html=True)
+st.markdown("<h1 style='text-align:center; color:red;'>Problem Statement</h1>",unsafe_allow_html=True)
+
+
+# Title of the Streamlit app
+st.title("Predicting Agoda Room Categories Using Machine Learning")
+
+# Problem statement section
+st.header("Problem Statement")
+
+# Text explaining the problem
+st.write("""
+    **Title:** Predicting Agoda Room Categories Using Machine Learning
+    
+    **Context:** Agoda, a leading online travel booking platform, offers a variety of accommodation options. Each room is categorized based on various features like customer ratings, reviews, cashback offers, discounts, state, and price. Accurately predicting the room category can enhance user experience by recommending relevant options and improving operational efficiency.
+    
+    **Problem Statement:** The goal is to build a predictive model that can classify room listings into predefined categories (e.g., budget, standard, premium, luxury) using the provided features. The challenge lies in choosing the best machine learning model and its hyperparameters to minimize classification error, particularly focusing on log-loss as the evaluation metric.
+""")