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DataScienceRepo

A collection of data science and machine learning notebooks covering insurance, weather prediction, housing prices, outbreak analysis, and sales forecasting.

Repository Structure

  • AcemClaimInsuranceIncorp.ipynb — standalone insurance notebook at the root.
  • AcmeInsurance/ — insurance-related notebook and dataset.
  • AustraliaWeatherPrediction/ — weather prediction notebooks, including logistic regression and random forest examples.
  • HousingPrices/ — notebooks for housing price exploration, feature engineering, and model development.
  • MLOPS/ — placeholder folder for MLOps-related work.
  • Outbreaks/ — outbreak data analysis notebooks and CSV data.
  • Statistical Technique/ — notebooks for categorical correlation, feature selection, missing value imputation, and statistical experiments.
  • StoreSales/ — sales forecasting notebook.

How to Use

  1. Open the repository in VS Code or Jupyter.
  2. Launch Jupyter Notebook or JupyterLab.
  3. Open the notebook you want to explore.
  4. Run cells sequentially to reproduce the analyses.

Notes

  • Datasets are stored alongside the notebooks in their respective folders.
  • Some notebooks may require installation of standard Python data science libraries such as pandas, numpy, scikit-learn, and matplotlib.