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Calm Sea

In the realm of sports analytics, the analysis of Olympic data presents a unique opportunity to gain insights into athlete performance, historical trends, and the impact of various factors on medal outcomes.

OLYMPIC DATA ANALYSIS WEB APP


The objective of this project is to conduct a comprehensive analysis of Olympic data to unearth patterns, correlations, and key indicators that contribute to success in the Olympics. The analysis covered multiple dimensions, including athlete demographics, historical performance, event-specific trends, and the influence of factors such as host country, time trends, and advancements in sports science.

The findings not only provided a deeper understanding of Olympic dynamics but also offered a valuable insights for athletes, coaches, and sports enthusiasts. The project utilized advanced statistical and machine learning techniques to extract meaningful information from the dataset, enabling stakeholders to make data-driven decisions and optimize performance strategies for future Olympic events.


- Steps: Data Cleaning, EDA, Deployment using Streamlit.


For Detailed View -> https://github.com/RajDeep-Chakravorty/Olympic-Web-App

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