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pandas

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This project aims to predict flight prices using machine learning with the help of AWS Sagemaker. The project leverages the XGBoost framework for prediction and Streamlit for the user interface. The end-to-end pipeline includes data storage, feature engineering, model training, and prediction.

  • Updated Jul 7, 2024
  • Jupyter Notebook

Jupyter notebooks for analysis of US federal debt levels, tax revenues, budget deficit, evolution of yields on treasury borrowings, treasury yield curves and inflation expectations, unemployment and participation rates, quantitative easing, industrial production, personal consumption and savings. All analysis is based on data provided by FRED.

  • Updated Jul 7, 2024
  • Jupyter Notebook

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