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    <title>DEV Community: Pragyan Tiwari</title>
    <description>The latest articles on DEV Community by Pragyan Tiwari (@pragyan_tiwari_ad31c0323f).</description>
    <link>https://dev.to/pragyan_tiwari_ad31c0323f</link>
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      <title>DEV Community: Pragyan Tiwari</title>
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      <title>🎗️Breast Cancer Prediction with Decision Trees</title>
      <dc:creator>Pragyan Tiwari</dc:creator>
      <pubDate>Wed, 25 Dec 2024 19:45:39 +0000</pubDate>
      <link>https://dev.to/pragyan_tiwari_ad31c0323f/breast-cancer-prediction-with-decision-trees-58cj</link>
      <guid>https://dev.to/pragyan_tiwari_ad31c0323f/breast-cancer-prediction-with-decision-trees-58cj</guid>
      <description>&lt;h2&gt;
  
  
  &lt;strong&gt;Hi Developers&lt;/strong&gt;👋
&lt;/h2&gt;

&lt;p&gt;I am excited to share my latest project, a DecisionTree Classifier for predicting breast cancer. I ✨tuned the model with feature engineering techniques and interpreted the model's behaviour with SHAP.&lt;/p&gt;

&lt;h3&gt;
  
  
  &lt;strong&gt;🔮 Project Overview&lt;/strong&gt;
&lt;/h3&gt;

&lt;p&gt;This project 🧠 leverages the power of DecisionTree Classifier 🌳 to predict breast cancer 🎀. It includes advanced feature engineering techniques 🛠️ and employs SHAP (SHapley Additive exPlanations) 📈 to interpret the model's behavior, ensuring transparency 🔍 and trust 🤝 in the predictions.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Here is the complete source on GitHub:&lt;/strong&gt; &lt;/p&gt;
&lt;p&gt;&lt;br&gt;
 &lt;a href="https://github.com/PragyanTiwari/Breast-Cancer-Prediction-with-DecisionTree-Classifier" rel="noopener noreferrer"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fimg.shields.io%2Fbadge%2Fgithub-black%3Fstyle%3Dfor-the-badge%26logo%3Dgithub%26logoSize%3Dauto%26link%3Dhttps%253A%252F%252Fgithub.com%252FPragyanTiwari" width="95" height="28"&gt;&lt;/a&gt;&lt;/p&gt;

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      <category>machinelearning</category>
      <category>python</category>
      <category>github</category>
      <category>datascience</category>
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