ml vs dl

pages/02_ml vs dl.py

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+import streamlit as st
+from streamlit_lottie import st_lottie
+import requests
+
+# Function to load Lottie animations
+def load_lottie_url(url: str):
+    response = requests.get(url)
+    if response.status_code != 200:
+        return None
+    return response.json()
+
+# Load Lottie animations (you can uncomment these as per your need)
+# lottie_ml = load_lottie_url("https://assets8.lottiefiles.com/packages/lf20_5eyehzdr.json")
+# lottie_dl = load_lottie_url("https://assets8.lottiefiles.com/packages/lf20_vfnu1k6m.json")
+
+# Sidebar navigation
+st.sidebar.title("Navigation")
+page = st.sidebar.radio("Go to:", ["Home", "ML vs DL", "Comparison Table"])
+
+# Add Navigate button to update page
+if st.sidebar.button("Navigate"):
+    st.session_state.page = page
+
+# Set page to session state if not already defined
+if "page" not in st.session_state:
+    st.session_state.page = page
+
+# Home page
+if st.session_state.page == "Home":
+    st.title("Understanding Machine Learning and Deep Learning")
+    st.markdown(
+        """
+        Welcome to the interactive guide on Machine Learning (ML) and Deep Learning (DL). This space helps you 
+        explore the differences, capabilities, and applications of ML and DL in a structured manner.
+        """
+    )
+    # If lottie_ml is loaded, display it (uncomment the following line when using animations)
+    # if lottie_ml:
+    #     st_lottie(lottie_ml, height=300, key="ml_home")
+
+# ML vs DL page
+elif st.session_state.page == "ML vs DL":
+    st.title("Difference Between Machine Learning (ML) and Deep Learning (DL)")
+
+    st.subheader("Machine Learning 🖥️")
+    st.markdown(
+        """
+        - Uses statistics to understand patterns in data and make predictions 📊.
+        - Can learn with less data 📉.
+        - Handles structured data; unstructured data must be converted to structured form 🔄.
+        - Requires less memory 🧠💾.
+        - Trains models in less time ⏱️.
+        - Can run efficiently on CPUs without requiring powerful hardware 🖥️.
+        """
+    )
+    
+    st.subheader("Deep Learning 🤖")
+    st.markdown(
+        """
+        - Uses neural networks to mimic brain-like learning and decision-making 🧠.
+        - Requires large amounts of data for better accuracy 🍽️📊.
+        - Handles both structured and unstructured data like images, text, and audio 🖼️📝🎧.
+        - Requires more memory and storage 🧠💾.
+        - Takes more time to train due to complex calculations ⏱️.
+        - Needs GPUs and advanced hardware for efficient processing 🖥️💡.
+        """
+    )
+    # If lottie_dl is loaded, display it (uncomment the following line when using animations)
+    # if lottie_dl:
+    #     st_lottie(lottie_dl, height=300, key="dl_page")
+
+# Comparison Table page
+elif st.session_state.page == "Comparison Table":
+    st.title("Comparison Table: ML vs DL")
+
+    st.markdown(
+        """
+        | **Aspect**              | **Machine Learning (ML)**                        | **Deep Learning (DL)**                          |
+        |-------------------------|-------------------------------------------------|-------------------------------------------------|
+        | **Definition**          | Uses algorithms and statistics to learn from data. | Uses neural networks to mimic brain-like decision-making. |
+        | **Data Dependency**     | Works well with smaller datasets.               | Requires large datasets for better accuracy.   |
+        | **Data Type**           | Handles structured data only.                   | Handles both structured and unstructured data. |
+        | **Training Time**       | Requires less time to train.                    | Requires more time to train.                   |
+        | **Hardware**            | Can run on CPUs.                                | Requires GPUs and advanced hardware.           |
+        | **Memory Requirement**  | Uses less memory.                               | Requires more memory and storage.              |
+        """
+    )
+
+    st.info(
+        "Did you know? Deep Learning models are inspired by the human brain, making them exceptionally powerful for tasks like image recognition and natural language processing!"
+    )