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global-dataset

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Machine Learning project that analyzes and predicts mental fitness levels using global datasets from 150+ countries. Implemented 12 regression algorithms with feature engineering and ensemble methods, achieving 98.5% prediction accuracy.

  • Updated Jan 13, 2024
  • Jupyter Notebook

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