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    <loc>https://www.manisportfolio.co.uk/projects/boe-using-language-to-predict-risk</loc>
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    <priority>0.5</priority>
    <lastmod>2025-07-09</lastmod>
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      <image:title>My Projects - Bank of England Project: Can Language Predict Financial Risk? - Make it stand out</image:title>
      <image:caption>Correlation matrices of linguistic metrics vs EPS Surprise</image:caption>
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      <image:title>My Projects - Bank of England Project: Can Language Predict Financial Risk? - Make it stand out</image:title>
      <image:caption>SHAP plot of feature importances for best model version</image:caption>
    </image:image>
    <image:image>
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      <image:title>My Projects - Bank of England Project: Can Language Predict Financial Risk? - Make it stand out</image:title>
      <image:caption>Negative EPS surprise model evaluation</image:caption>
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  <url>
    <loc>https://www.manisportfolio.co.uk/projects/predicting-student-dropout</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2025-07-09</lastmod>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/680245d97bbe8c4520cc2d44/d3afe877-862d-4c73-8129-853e16e06037/Screenshot+2025-06-04+111949.png</image:loc>
      <image:title>My Projects - Study Group Project: Predicting Student Dropout Using Supervised Learning - Make it stand out</image:title>
      <image:caption>Confusion matrices for a tuned Neural Network (left) vs tuned XGBoost model (right).</image:caption>
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    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/680245d97bbe8c4520cc2d44/a0d67bbf-5b1b-47fb-ab0e-0f57b398a8ab/Screenshot+2025-06-04+111410.png</image:loc>
      <image:title>My Projects - Study Group Project: Predicting Student Dropout Using Supervised Learning - Make it stand out</image:title>
      <image:caption>Confusion matrices for an untuned XGBoost model (left) vs a tuned XGBoost model (right).</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/680245d97bbe8c4520cc2d44/69e71a1e-299f-448b-bd2b-1e8fd23ff7ce/Screenshot+2025-06-04+111757.png</image:loc>
      <image:title>My Projects - Study Group Project: Predicting Student Dropout Using Supervised Learning - Make it stand out</image:title>
      <image:caption>Confusion matrices for an untuned Neural Network model (left) vs a tuned Neural Network model (right).</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/680245d97bbe8c4520cc2d44/dd3398e0-cee9-42c3-8bf4-8bf8b418bf63/Screenshot+2025-06-04+112432.png</image:loc>
      <image:title>My Projects - Study Group Project: Predicting Student Dropout Using Supervised Learning - Make it stand out</image:title>
      <image:caption>Confusion matrices for an untuned Neural Network model (left) vs a untuned XGBoost model (right).</image:caption>
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  <url>
    <loc>https://www.manisportfolio.co.uk/projects/ship-engine-anonamlies</loc>
    <changefreq>monthly</changefreq>
    <priority>0.5</priority>
    <lastmod>2025-06-04</lastmod>
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      <image:title>My Projects - Detecting The Anomalous Activity Of A Ship Engine - Make it stand out</image:title>
      <image:caption>One-Class SVM showing anomalies (marked x) outside of the decision boundary (red circular line).</image:caption>
    </image:image>
    <image:image>
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      <image:title>My Projects - Detecting The Anomalous Activity Of A Ship Engine - Make it stand out</image:title>
      <image:caption>Scatterplot of anomalies (red) identified by using Isolation Forest.</image:caption>
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    <image:image>
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      <image:title>My Projects - Detecting The Anomalous Activity Of A Ship Engine - Make it stand out</image:title>
      <image:caption>Bar chart showing the number of outliers of each feature.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/680245d97bbe8c4520cc2d44/5db1b256-c21f-4044-8cae-f52981590753/IQR.png</image:loc>
      <image:title>My Projects - Detecting The Anomalous Activity Of A Ship Engine - Make it stand out</image:title>
      <image:caption>Boxplots of each feature, highlighting outliers detected by using a factor of 1.5 x IQR.</image:caption>
    </image:image>
  </url>
  <url>
    <loc>https://www.manisportfolio.co.uk/contact</loc>
    <changefreq>daily</changefreq>
    <priority>0.75</priority>
    <lastmod>2025-04-21</lastmod>
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  <url>
    <loc>https://www.manisportfolio.co.uk/home</loc>
    <changefreq>daily</changefreq>
    <priority>1.0</priority>
    <lastmod>2025-07-09</lastmod>
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