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one-hot-encoding

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Revolutionize sales forecasting for Rossmann stores with our high-accuracy XGBoost model, leveraging data analysis, feature engineering, and machine learning to predict sales up to six weeks in advance.

  • Updated Jun 4, 2023
  • Jupyter Notebook

This repository covers my code using regression models to predict if a customer would be exiting a bank or not. It also capture the use classification models to classify if a customer has left the bank or not (binary classification).

  • Updated Oct 11, 2023
  • Jupyter Notebook

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