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PySpark ML pipeline for smart traffic congestion prediction with data generation, preprocessing, model training, evaluation, and streaming-style predictions.
ML-powered web app that predicts patient insurance charges using user inputs, deployed with Docker, CI/CD pipelines, Azure Container Registry, and Azure Web App.
A sandbox for exploring end-to-end machine learning operations: testing ideas, integrating tools, and building practical workflows around model development, deployment, and lifecycle management.
A collection of my deep learning learning journey - implementations from scratch covering core concepts like neural networks, activation functions, gradient descent, and backpropagation. Includes h…
Jupyter Notebook
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