import streamlit as st

st.markdown(
    """
    <h1 style="color: #007BFF; text-align: center;">
        ✨ Dive into ML: Zero to Hero 🚀
    </h1>
    """,unsafe_allow_html = True
)

# Display the image centered using HTML
st.markdown(
    """
    <div style="display: flex; justify-content: center;">
        <img src="https://huggingface.co/spaces/hari3485/DiveIntoML/resolve/main/ML.png",width="512" />
    </div>
    """, unsafe_allow_html=True
)


st.markdown(
    """
    <h3 style="text-align: left; color: red;">
        The Road to Machine Learning Mastery
    </h3>
    """, unsafe_allow_html=True
)


# Title and introductory message
st.markdown("""
    A platform designed to take you through the complete journey of machine learning 🧑‍💻. Whether you're a beginner 🆕 or aiming for expert-level skills 🎓, this page provides insights, resources, and real-world examples 📊 to help you master machine learning step by step. Explore various ML concepts, models, and tools 🧠 as we break down complex topics into easy-to-understand lessons 📚. Join the journey and transform your knowledge from zero to hero in machine learning! 🌟
""", unsafe_allow_html=True)

# Step-by-step learning process
st.markdown("""
    ## Step-by-step learning process:
    
    - 🔰 **Start with Basics**: Understand fundamental concepts and terminology.
    - 🧠 **Learn Key Algorithms**: Dive into core ML models (e.g., regression, classification).
    - 📊 **Hands-on Projects**: Work on real-world problems and datasets.
    - ⚙️ **Explore Tools & Libraries**: Get familiar with ML frameworks (e.g., TensorFlow, Scikit-learn).
    - 🚀 **Advanced Topics**: Master deep learning, reinforcement learning, and more.
    - 🌟 **Become an Expert**: Refine your skills with advanced techniques and applications!
""", unsafe_allow_html=True)

st.markdown("""
    ## Education & Experience 🎓💼:
    I have completed a <b>MSc in Statistics</b> 🎓 from <b>Pondicherry University (2022–2024)</b>, where I specialized in using statistical methods and data science tools to solve real-world challenges. I have experience with <b>SPSS</b> 🧮 for statistical analysis, am proficient in <b>R Programming</b> 📊 for data analysis and visualization, and skilled in various <b>Sampling Techniques</b> 🔬 for data analysis. Additionally, I possess a strong understanding of <b>Regression Analysis</b> 📈 for predictive modeling.
""", unsafe_allow_html=True)

st.markdown("""
    ## Skills 💻📊:
    - <b>Programming</b>: Python 🐍, R 📊, SQL 🗄️  
    - <b>Data Analysis & Visualization</b>: Numpy 🧮, Pandas 📊, Power BI 📊, Excel 📈  
    - <b>Statistical Analysis</b>: SPSS 🧮
""", unsafe_allow_html=True)

# Footer message
st.markdown("---")
st.markdown("**Connect with me** 🔗: [LinkedIn](https://www.linkedin.com/in/hari-chandan-76b673267)")