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  1. nutrient-composition-of-common-foods-in-canada-analyzing-the-canadian-nutrient-file nutrient-composition-of-common-foods-in-canada-analyzing-the-canadian-nutrient-file Public

    Creates interactive tools for informed dietary choices using The Canadian Nutrient File: a Tableau dashboard explores nutrient composition, while an AI-powered app offers dynamic visualizations, cl…

    Jupyter Notebook

  2. af-risk-prediction-using-ecg-and-ehr-data af-risk-prediction-using-ecg-and-ehr-data Public

    Implements an XGBoost-based risk prediction pipeline and interactive app to forecast new-onset atrial fibrillation using routinely collected 12-lead ECG and electronic health record data.

    Jupyter Notebook 1

  3. credit-card-default credit-card-default Public

    Builds a predictive model to forecast credit card defaults using demographic and financial data from 30,000 account holders—incorporating exploratory data analysis, visualization, and machine learn…

    Jupyter Notebook

  4. data-driven-department-optimization data-driven-department-optimization Public

    Optimizes departmental operations using machine learning and deep learning: predicts employee turnover (HR), segments customers (Marketing), forecasts sales (Sales), detects chest diseases (Operati…

    Jupyter Notebook

  5. enhancing-banks-personal-loan-approaches enhancing-banks-personal-loan-approaches Public

    Develops a sequential neural network to predict customer likelihood of accepting personal loan offers, achieving 98% accuracy, 96% precision, and 87% recall to inform targeted marketing strategies.

    Jupyter Notebook

  6. resnet-18-based-eeg-ahi-regression-pipeline resnet-18-based-eeg-ahi-regression-pipeline Public

    An end-to-end deep learning pipeline for continuous AHI regression from EEG spectrograms using ResNet-18 architecture.

    Jupyter Notebook