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1. Health-Related-Dataset Health-Related-Dataset Public

   Collection of health-related datasets, including breast cancer and diabetes data, for exploratory analysis, visualization, and machine learning experiments.

   Jupyter Notebook

2. Iris-Classifier Iris-Classifier Public

   Exploring the classic Iris dataset by training and comparing three supervised machine learning models to classify flower species and evaluate model accuracy.

   Jupyter Notebook

3. GRC-Portfolio GRC-Portfolio Public

   Practical GRC portfolio showcasing GDPR, Cyber Essentials, AI governance, vendor risk, and policy documentation created for real-world compliance scenarios.

4. newsgroups-text-classifier newsgroups-text-classifier Public

   Portfolio-ready NLP project that classifies 20 Newsgroups text into topic categories using scikit-learn, demonstrating end-to-end model building, evaluation, and clear, reusable code.”

   Jupyter Notebook

5. wine-classifier-ml wine-classifier-ml Public

   Wine classification project using scikit-learn’s built-in Wine dataset to train and evaluate a supervised machine learning model, with results tracked via Jupyter notebooks and saved model artifacts.

   Jupyter Notebook

6. ma-post-trade-automation-demo ma-post-trade-automation-demo Public

   A Python-based prototype that collates mock MarketAxess Post Trade data, calculates key settlement KPIs, flags failed trade exceptions, and exports charts and exception reports to support Relations…

   Jupyter Notebook