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Update portfolio-11.md
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emadchelhi committed Aug 16, 2024
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<span style="color:rgba(82,173,200,255)">**Objective**</span>\
*Outlier detection analysis project to identify anomalous consumer behavior based on their spending patterns. The chosen approach is powered by an unsupervised K-Nearest Neighbors (KNN) model with a soft-min distance metric, ensuring accurate detection of outliers. The model offers robust explainability through feature-based explanations, providing insights into the factors driving these anomalies.*\
<span style="color:rgba(82,173,200,255)"> **Links** </span>
[<img src="/images/GitHub.png" alt="GitHub" width="37.5" height="12.5" />](https://github.com/emadchelhi/Why-anomalous) [<img src="/images/report_icone.png" alt="Report" width="37.5" height="12.5" />](https://drive.google.com/file/d/1z8tgu2ueH8BaefzG8rIVMLrWKPW4sHe4/view?usp=sharing) [<img src="/images/deploy_logo.png)" alt="Deployment" width="37.5" height="12.5" />](https://why-anomalous.streamlit.app/)
[<img src="/images/GitHub.png" alt="GitHub" width="37.5" height="12.5" />](https://github.com/emadchelhi/Why-anomalous) [<img src="/images/report_icone.png" alt="Report" width="37.5" height="12.5" />](https://drive.google.com/file/d/1z8tgu2ueH8BaefzG8rIVMLrWKPW4sHe4/view?usp=sharing) [<img src="/images/deploy_logo.png" alt="Deployment" width="37.5" height="12.5" />](https://why-anomalous.streamlit.app/)

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