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+<div class="sc-jegwdG lhLRCf"><div class="sc-UEtKG dGqiYy sc-flttKd cguEtd"><div class="sc-fqwslf gsqkEc"><div class="sc-cBQMlg kAHhUk"><h2 class="sc-dcKlJK sc-cVttbi gqEuPW ksnHgj">About Dataset</h2></div></div></div><div class="sc-davvxH eCVTlP"><div class="sc-jCNfQM dTyvWO"><div style="min-height: 80px;"><div class="sc-etVRix jqYJaa sc-gVIFzB gQKGyV">
+  <h2>What is Breast Cancer Dataset?</h2>
+
+<p>Breast cancer is the most common cancer amongst women in the world. It accounts for 25% of all cancer cases and affected over 2.1 Million people in 2015 alone. It starts when cells in the breast begin to grow out of control. These cells usually form tumors that can be seen via X-ray or felt as lumps in the breast area.</p>
+<p>.</p>
+<p><img alt="cancer-1" src="https://user-images.githubusercontent.com/36210723/182301443-382b14e1-71c1-46ac-88f5-e72a9b2083e7.jpg"></p>
+<p>.</p>
+
+  <h2>How to use this dataset</h2>
+
+<p>The key challenge against its detection is how to classify tumors into malignant (cancerous) or benign(non-cancerous). We ask you to complete the analysis of classifying these tumors using machine learning (with SVMs) and the Breast Cancer Wisconsin (Diagnostic) Dataset.</p>
+
+  <h2>Acknowledgments</h2>
+
+<p>When we use this dataset in our research, we credit the authors as :</p>
+<ul>
+<li><p><strong>License</strong> : <code>CC BY 4.0.</code></p></li>
+
+<li><p><strong>This data set is taken from <a rel="noreferrer nofollow" aria-label="https://data.world/health/breast-cancer-wisconsin (opens in a new tab)" target="_blank" href="https://data.world/health/breast-cancer-wisconsin">https://data.world/health/breast-cancer-wisconsin</a> by the Donor: Nick Street and the Source: UCI - Machine Learning Repository.</strong></p></li>
+</ul>
+
+  <h3><strong>The main idea for uploading this dataset is to practice data analysis with my students, as I am working in college and want my student to train our studying ideas in a big dataset, It may be not up to date and I mention the collecting years, but it is  a good resource of data to practice</strong></h3>
+</div></div></div>
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