Olympic_Data_analysis

This project analyzes 128 years of Olympic history using data from Kaggle. It explores trends in athlete performance, medal counts, gender participation, and country-wise achievements.

Dataset

[120 Years of Olympic History: Athletes and Results] - https://www.kaggle.com/datasets/stefanydeoliveira/summer-olympics-medals-1896-2024

Features

• Medal Tally by Country
  Summarized total medals (Gold, Silver, Bronze) won by each country.

• 🇮🇳 Country-Specific Analysis
  Filtered medal performance for a specific country (e.g., India's gold medal history).

• Data Cleaning & Integration

  • Merged datasets using NOC
  • Removed duplicates
  • Created dummy columns for medals

• Machine Learning Model (Planned)
  Although commented in the current notebook, code includes:

  • Feature selection: ['Event', 'Sport', 'Team', 'NOC']
  • Target: City (to predict Olympic host city)
  • Model: XGBoost Classifier with preprocessing and train-test split

Tools Used

• Python
• Pandas
• Scikit-learn
• XGBoost
• SMOTE-ENN
• Matplotlib
• Seaborn
• Jupyter Notebook