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import streamlit as st
# Title and Introduction
st.markdown("""
<style>
body {
font-family: Arial, sans-serif;
margin: 20px;
background-color: #121212; /* Dark background */
color: #e0e0e0; /* Light text for visibility */
}
.title {
text-align: center;
color: #ffffff; /* White title text */
font-size: 40px;
font-weight: bold;
}
.subtitle {
text-align: center;
color: #bdbdbd; /* Light gray subtitle text */
font-size: 18px;
}
.section {
background-color: #1e1e1e; /* Darker section background */
padding: 20px;
border-radius: 10px;
margin-bottom: 20px;
box-shadow: 0px 4px 6px rgba(0, 0, 0, 0.6); /* Subtle shadow */
}
.section-header {
color: #81d4fa; /* Light blue section headers */
font-size: 24px;
margin-bottom: 10px;
text-decoration: underline;
}
ul {
list-style-type: none;
padding: 0;
}
ul li {
background-color: #2e2e2e; /* Slightly lighter background for list items */
margin: 10px 0;
padding: 15px;
border: 1px solid #424242; /* Gray border */
border-radius: 8px;
font-size: 16px;
color: #f5f5f5; /* Light text color */
}
table {
width: 100%;
border-collapse: collapse;
margin-top: 20px;
background-color: #1e1e1e; /* Table background matches sections */
}
th, td {
text-align: left;
padding: 12px;
border: 1px solid #424242; /* Gray border for table cells */
color: #e0e0e0; /* Light text color */
}
th {
background-color: #263238; /* Dark blue-gray for headers */
color: #ffffff; /* White header text */
}
tr:nth-child(even) {
background-color: #2e2e2e; /* Slightly lighter rows */
}
tr:hover {
background-color: #424242; /* Highlighted row on hover */
}
</style>
<div class="title">Difference Between Machine Learning (ML) and Deep Learning (DL)</div>
<p class="subtitle">Learn how ML and DL differ in capabilities, requirements, and use cases!</p>
""", unsafe_allow_html=True)
# Machine Learning Section
st.markdown("""
<div class="section">
<div class="section-header">Machine Learning 🖥️</div>
<ul>
<li>Uses statistics to understand patterns in data and make predictions 📊.</li>
<li>Can learn with less data 📉.</li>
<li>Handles structured data; unstructured data must be converted to structured form 🔄.</li>
<li>Requires less memory 🧠💾.</li>
<li>Trains models in less time ⏱️.</li>
<li>Can run efficiently on CPUs without requiring powerful hardware 🖥️.</li>
</ul>
</div>
""", unsafe_allow_html=True)
# Deep Learning Section
st.markdown("""
<div class="section">
<div class="section-header">Deep Learning 🤖</div>
<ul>
<li>Uses neural networks to mimic brain-like learning and decision-making 🧠.</li>
<li>Requires large amounts of data for better accuracy 🍽️📊.</li>
<li>Handles both structured and unstructured data like images, text, and audio 🖼️📝🎧.</li>
<li>Requires more memory and storage 🧠💾.</li>
<li>Takes more time to train due to complex calculations ⏱️.</li>
<li>Needs GPUs and advanced hardware for efficient processing 🖥️💡.</li>
</ul>
</div>
""", unsafe_allow_html=True)
# Tabular Comparison
st.markdown("""
<div class="section">
<div class="section-header">Comparison Table</div>
<table>
<thead>
<tr>
<th>Aspect</th>
<th>Machine Learning (ML)</th>
<th>Deep Learning (DL)</th>
</tr>
</thead>
<tbody>
<tr>
<td>Definition</td>
<td>Uses algorithms and statistics to learn from data.</td>
<td>Uses neural networks to mimic brain-like decision-making.</td>
</tr>
<tr>
<td>Data Dependency</td>
<td>Works well with smaller datasets.</td>
<td>Requires large datasets for better accuracy.</td>
</tr>
<tr>
<td>Data Type</td>
<td>Handles structured data only.</td>
<td>Handles both structured and unstructured data.</td>
</tr>
<tr>
<td>Training Time</td>
<td>Requires less time to train.</td>
<td>Requires more time to train.</td>
</tr>
<tr>
<td>Hardware</td>
<td>Can run on CPUs.</td>
<td>Requires GPUs and advanced hardware.</td>
</tr>
<tr>
<td>Memory Requirement</td>
<td>Uses less memory.</td>
<td>Requires more memory and storage.</td>
</tr>
</tbody>
</table>
</div>
""", unsafe_allow_html=True)
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