Update pages/3Life Cycle of Machine Learning Project.py

pages/3Life Cycle of Machine Learning Project.py

@@ -7,7 +7,7 @@ st.set_page_config(
 )
 
 # Global CSS for consistent styling across all pages
-st.markdown("""
+st.markdown(""" 
     <style>
     body, .stApp {
         color: #4F4F4F; /* Replace with your desired font color */
@@ -124,47 +124,38 @@ st.markdown(
         <a href="/problem-statement" class="phase phase-1" target="_self">Problem Statement</a>
         <div class="description">Clearly define the issue, the data used, and the expected outcome.</div>
         <div class="arrow">⬇️</div>
-
         <!-- Data Collection -->
         <a href="/data-collection" class="phase phase-2" target="_self">Data Collection</a>
         <div class="description">Collect relevant data from multiple sources, ensuring it aligns with the problem statement.</div>
         <div class="arrow">⬇️</div>
-
         <!-- Simple EDA -->
         <a href="/simple-eda" class="phase phase-3" target="_self">Simple EDA</a>
         <div class="description">Perform initial exploratory analysis to assess data quality, structure, and appearance.</div>
         <div class="arrow">⬇️</div>
-
         <!-- Data Preprocessing -->
         <a href="/data-preprocessing" class="phase phase-4" target="_self">Data Preprocessing</a>
         <div class="description">Clean the dataset by handling missing values, outliers, and inconsistencies, transforming it into a suitable format.</div>
         <div class="arrow">⬇️</div>
-
         <!-- EDA -->
         <a href="/eda" class="phase phase-5" target="_self">EDA</a>
         <div class="description">Perform detailed analysis to uncover trends, patterns, and relationships that will guide model building.</div>
         <div class="arrow">⬇️</div>
-
         <!-- Feature Engineering -->
         <a href="/feature-engineering" class="phase phase-6" target="_self">Feature Engineering</a>
         <div class="description">Create or select meaningful features, scale variables, and reduce dimensionality to enhance model performance.</div>
         <div class="arrow">⬇️</div>
-
         <!-- Model Training -->
         <a href="/model-training" class="phase phase-7" target="_self">Model Training</a>
         <div class="description">Train machine learning models on the prepared data and optimize parameters for improved performance.</div>
         <div class="arrow">⬇️</div>
-
         <!-- Model Testing -->
         <a href="/model-testing" class="phase phase-8" target="_self">Model Testing</a>
         <div class="description">Evaluate the trained model on a validation or test dataset to assess accuracy, precision, and other metrics.</div>
         <div class="arrow">⬇️</div>
-
         <!-- Deployment -->
         <a href="/deployment" class="phase phase-9" target="_self">Deployment</a>
-        <div class="description">Deploy the model into a live system for real-time or batch processing of new data.</div>
+        <div class="description">Deploy the trained model into a live system for real-time or batch processing of new data.</div>
         <div class="arrow">⬇️</div>
-
         <!-- Monitoring -->
         <a href="/monitoring" class="phase phase-10" target="_self">Monitoring</a>
         <div class="description">Track model performance in production, addressing issues like data drift and performance degradation.</div>