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kduffuor/README.md

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name = "Kwabena Duffuor Asante" location = "Ontario, Canada" education = [ "BSc Information Technology Education", "MPhil Computer Science", "MPS Informatics", "Next: PhD in Computer Science" ] interests = [ "Healthcare Analytics", "Machine Learning", "Computer Vision", "Responsible AI, Ethics & Data Governance", "Business Intelligence" ] skills = { "Languages": ["Python", "R", "SQL", "Java", "C++"], "Data_Tools": ["Pandas", "NumPy", "Matplotlib", "Power BI", "Tableau", "Excel"], "ML_Libraries": ["scikit-learn", "TensorFlow", "PyTorch", "Keras"], "Databases": ["PostgreSQL", "MySQL", "SQLite"], "Concepts": ["Data Wrangling", "Predictive Analytics", "Deep Learning", "BI Dashboards", "Data Governance"] } currently_learning = ["Streamlit", "Flask", "Snowflake", "Advanced Modeling"]

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  1. Brain-Tumor-VGG16-Transfer-Learning Brain-Tumor-VGG16-Transfer-Learning Public

    Deep learning brain tumor classification using fine-tuned VGG16 with transfer learning. Achieves 97.3% accuracy in classifying MRI scans into 4 categories: glioma, meningioma, pituitary tumor, and …

    Jupyter Notebook

  2. Fetal-Health-ML-Analysis Fetal-Health-ML-Analysis Public

    Machine learning-based fetal health classification system using cardiotocography data. Compares multiple algorithms (XGBoost, Random Forest, MLP, Logistic Regression) for predicting fetal health st…

    Jupyter Notebook