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  1. flower_model flower_model Public

    An end-to-end Machine Learning web application and REST API for Iris Flower Classification using Scikit-Learn (Random Forest), FastAPI, Streamlit, and Docker containerization.

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  4. dan99er dan99er Public

    Hi there, I'm Eng. Abdulqudos Hesham Almasri 👋 (dan99ger)

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    End-to-end Machine Learning classification pipeline with XGBoost, automated Optuna hyperparameter optimization, and comprehensive evaluation metrics. Part of the 7-Day ML Engineering Challenge.

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    Custom PyTorch Neural Network implementation featuring a manual training loop, regularization (Dropout & Batch Normalization), and loss curve visualization. Part of the 7-Day ML Engineering Challenge.

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