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1. neural-networks neural-networks Public

   Using deep learning libraries to implement various network architectures optimized for different types of data (numbers, text, images).

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2. supervised-learning supervised-learning Public

   Guide for building supervised statistical models for various Regression, Classification models with the use of clean datasets...

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3. unsupervised-learning unsupervised-learning Public

   Applying unsupervised statistical learning techniques to clean datasets

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4. object-detection object-detection Public

   Using tensorflow.js to enable Object Detection through the use of a client webcam

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5. credit-risk-models credit-risk-models Public

   Building Base II, Base III compliant credit risk models in Python (PD, LGD, EAD)

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6. ml-platform ml-platform Public

   A guide to building an end-to-end ML Platform with MLFLOW: Track, train, and serve ML models seamlessly. Features MLFlow Server, UI, Training & Serving Containers, Artifact Registry, and Logging. I…

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