Update pages/Machine Learning vs Deep Learning.py

pages/Machine Learning vs Deep Learning.py

@@ -0,0 +1,43 @@
+import streamlit as st
+import pandas as pd
+
+# Define the table data
+data = {
+    "Aspect": [
+        "Learning Approach", "Data Requirement", "Complexity of Tasks",
+        "Computation Power", "Algorithms Used", "Training Time", "Data Types Processed"
+    ],
+    "Machine Learning (ML)": [
+        "Uses a statistical approach to analyze data and make predictions.",
+        "Works well with smaller datasets.",
+        "Handles simpler relationships (e.g., predicting house prices).",
+        "Can run on CPUs (low computational power).",
+        "Uses models like KNN, Decision Trees, Linear Regression.",
+        "Faster training due to simpler computations.",
+        "Works with structured/tabular data."
+    ],
+    "Deep Learning (DL)": [
+        "Uses neural networks to automatically learn patterns.",
+        "Requires large amounts of data to perform well.",
+        "Handles complex relationships (e.g., object recognition in images).",
+        "Requires GPUs/TPUs (high computational power).",
+        "Uses ANN, CNN, RNN for feature extraction and learning.",
+        "Longer training time due to deep layers and complex processing.",
+        "Works with images, videos, text, and audio."
+    ]
+}
+
+# Create DataFrame
+df = pd.DataFrame(data)
+
+# Display the table in Streamlit
+st.title("Machine Learning vs. Deep Learning")
+st.write("### Comparison Table")
+st.table(df)
+
+# Convert DataFrame to HTML
+html_table = df.to_html(index=False, escape=False)
+
+# Display HTML table
+st.write("### HTML Representation")
+st.code(html_table, language="html")