Discover Ndaruga/Facial-Attributes-Recognition-Using-Machine-Learning

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Created about 3 years ago
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Ndaruga

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This is a supervised Machine Learning project that recognizes if a face has attributes such as wrinkles, freckles, has glasses, hair color, and a couple of other attributes.

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configuring and automating servers with ansible.

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This repository contains multiple machine learning projects for supervised, semi-supervised, unsupervised and reinforcement machine learning

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This project involves identifying unusual patterns or behaviors that may indicate fraudulent activity in credit cards. Anomaly detection algorithms work by learning patterns from historical data and then detecting deviations from those patterns in new data. Three algorithms have been utilized. i.e Autoencoders & Angle-based Outlier Detection (ABOD)

Jupyter Notebook

Ndaruga/Facial-Attributes-Recognition-Using-Machine-Learning

Ndaruga

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