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markort147/README.md

Marco Romano

Experienced Java developer | Lifelong learner



Some demos

Java Development

Data Science & Machine Learning

  • Skills-assesment project for Neural Acadamy course
  • A Jupyter notebook created as the final project for the Data Science and Machine Learning course at Neural Academy. Applied data analysis, data visualization, and supervised learning techniques to assess credit financial risk using a specific dataset.
    • Libraries: NumPy, Pandas, Matplotlib, Sci-Kit Learn
    • Machine Learning Models: K-Nearest Neighbors (KNN), Random Forest, XGBoost
    • Evaluation of various scoring metrics for model performance assessment



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