ML1 / app.py
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Update app.py
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import streamlit as st
custom_css = """
<style>
html, body, [data-testid="stAppViewContainer"] {
background: linear-gradient(
rgba(255, 255, 255, 0.8), /* Semi-transparent white overlay */
rgba(200, 200, 255, 0.8)
),
url('https://i.imgur.com/vIszbgs.jpeg') no-repeat center center fixed;
background-size: cover; /* Cover the entire screen */
font-family: Arial, sans-serif;
color: #333333;
}
</style>"""
# Apply custom CSS
st.markdown(custom_css, unsafe_allow_html=True)
st.markdown(
"<h1 style='text-align: center;'>ZERO TO HERO IN MACHINE LEARNING..!</h1>",
unsafe_allow_html=True
)
st.markdown(
"""
<div style="display: flex; justify-content: center; align-items: center; height: auto;">
<img src="https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRYTN25GEP0YxpZ_b1Sy0qc3r4xfKNIMmeh0Q&s" alt="Centered Image" width="300">
</div>
""",
unsafe_allow_html=True
)
st.markdown(
"<h2 style='color:navy'>About the App</h2>",
unsafe_allow_html=True
)
st.markdown(
"<p style='color:olive, font-family:Arial Black'>This app provides a detailed tutorial about <b> Machine Learning</b>.Our app, <b>Zero to Hero in ML</b>, is a comprehensive learning companion designed to guide users from foundational concepts to advanced applications of machine learning. Leveraging interactive tutorials, real-world project examples, and intuitive visualizations, the app simplifies complex ML concepts for beginners while offering deep dives for advanced learners. Powered by cutting-edge machine learning itself, the app personalizes the learning experience, adapting to individual progress and providing tailored recommendations to help users master the skills needed to thrive in the rapidly evolving field of AI and data science</p>"
,unsafe_allow_html=True
)
st.markdown(
"""<h2 style='color:navy'>About the Author</h2>
<p><b>Sreeja Lachannagari,a passionate data science student dedicated to simplifying complex concepts and empowering others to excel in the field of machine learning</b></p>""",
unsafe_allow_html=True
)