Machine Learning Projects - Olympics Data Analysis | Data Analysis Project | Machine Learning with Deployment

In this video, I will be building an Olympics Data Analysis Web Application using Streamlit. For development, I will be using Python and Pandas. For plotting, I will be using Seaborn and Plotly libraries. The project will also be deployed to Heroku. Live Demo: https://oda-campusx.herokuapp.com/ Dataset Link: https://www.kaggle.com/heesoo37/120-years-of-olympic-history-athletes-and-results Code Used: https://github.com/campusx-official/olympics-data-analysis-web-app ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in/s/store ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 E-mail us at [email protected] ⌚Time Stamps⌚ 0:00 - Introduction 01:37 - Demo 09:10 - Dataset 10:32 - Setting up the Project 13:45 - Medal Tally 01:09:43 - Overall Analysis 01:43:50 - Country-wise Analysis 02:04:26 - Athlete Analysis 02:30:09 - Heroku Deployment 02:34:06 - Outro