import streamlit as st from streamlit_lottie import st_lottie import requests # Function to load Lottie animation from a URL def load_lottieurl(url: str): """Fetch Lottie animation JSON from a URL.""" try: response = requests.get(url) if response.status_code == 200: return response.json() except requests.exceptions.RequestException: return None # CSS Styling for light and dark modes st.markdown(""" """, unsafe_allow_html=True) # Title and Tagline st.title("Mastering Machine Learning: From Basics To Brilliance 🚀🤖") st.markdown("## Your Gateway To Become Master In Data Science") # Display Lottie animation animation_url = "https://lottie.host/a45f4739-ef78-4193-b3f9-2ea435a190d5/PsTVRgXekn.json" lottie_animation = load_lottieurl(animation_url) if lottie_animation: st_lottie(lottie_animation, height=200, key="animation") # About the App Section st.subheader("About This Application") st.markdown(""" This platform serves as a **comprehensive guide to Machine Learning and Data Science**. From grasping the fundamentals to deploying models, it offers insights into the entire lifecycle: - **Problem Definition**: Understand the business context and set clear objectives. - **Data Handling**: Collect, clean, and explore datasets to uncover insights. - **Model Development**: Build and optimize machine learning models. - **Model Deployment**: Deliver real-world solutions and monitor performance. Designed for both beginners and those looking to refine their skills, this app provides a structured learning path enriched with practical examples. """) # Key Takeaways Section st.subheader("What You'll Learn Here") st.markdown(""" 1. **Step-by-Step Roadmaps**: Detailed guidance to help you navigate through data science challenges. 2. **Hands-on Projects**: Real-world examples and code snippets for applied learning. 3. **Visualizations**: Clear, intuitive graphs and plots to simplify complex concepts. 4. **Insights from Experience**: Lessons from my personal journey to help you avoid common pitfalls. """) # Author Section st.markdown("""
""", unsafe_allow_html=True) # Social Links Section st.markdown(""" """, unsafe_allow_html=True) # Footer Section st.markdown(""" """, unsafe_allow_html=True)