*

Home/components/Writings/postsList.ts

@@ -6,6 +6,11 @@ type Post = {
 };
 
 export const postsList: Post[] = [
+  {
+    datetime: '2024-09-13',
+    link: '/training-ml-models-for-cancer-tumor-classification',
+    title: 'Training ML Models for Cancer Tumor Classification',
+  },
   {
     datetime: '2024-08-14',
     link: '/essays/applying-books-in-my-life',

content/tags/data-science/en/index.mdx

@@ -1,8 +1,28 @@
 <div class="tags">
 
+## 2024
+
+<ul>
+  <PostAndDate
+    date="2024-09-13"
+    title="Training ML Models for Cancer Tumor Classification"
+    url="/training-ml-models-for-cancer-tumor-classification"
+  />
+</ul>
+
 ## 2022
 
-- <time class="date">2022-04-27</time> <span>[Multilayer Perceptron](/series/introduction-to-machine-learning/multilayer-perceptron)</span>
-- <time class="date">2022-04-26</time> <span>[Logistic Regression](/series/introduction-to-machine-learning/logistic-regression)</span>
+<ul>
+  <PostAndDate
+    date="2022-04-27"
+    title="Multilayer Perceptron"
+    url="/series/introduction-to-machine-learning/multilayer-perceptron"
+  />
+  <PostAndDate
+    date="2022-04-26"
+    title="Logistic Regression"
+    url="/series/introduction-to-machine-learning/logistic-regression"
+  />
+</ul>
 
 </div>

content/tags/machine-learning/en/index.mdx

@@ -3,6 +3,11 @@
 ## 2024
 
 <ul>
+  <PostAndDate
+    date="2024-09-13"
+    title="Training ML Models for Cancer Tumor Classification"
+    url="/training-ml-models-for-cancer-tumor-classification"
+  />
   <PostAndDate
     date="2024-07-22"
     title="Statistics Fundamentals"

content/tags/python/en/index.mdx

@@ -1,19 +1,63 @@
 <div class="tags">
 
+## 2024
+
+<ul>
+  <PostAndDate
+    date="2024-09-13"
+    title="Training ML Models for Cancer Tumor Classification"
+    url="/training-ml-models-for-cancer-tumor-classification"
+  />
+</ul>
+
 ## 2022
 
-- <time class="date">2022-04-27</time> <span>[Multilayer Perceptron](/series/introduction-to-machine-learning/multilayer-perceptron)</span>
-- <time class="date">2022-04-26</time> <span>[Logistic Regression](/series/introduction-to-machine-learning/logistic-regression)</span>
+<ul>
+  <PostAndDate
+    date="2022-04-27"
+    title="Multilayer Perceptron"
+    url="/series/introduction-to-machine-learning/multilayer-perceptron"
+  />
+  <PostAndDate
+    date="2022-04-26"
+    title="Logistic Regression"
+    url="/series/introduction-to-machine-learning/logistic-regression"
+  />
+</ul>
 
 ## 2020
 
-- <time class="date">2020-02-10</time> <span>[Tree Data Structure](/series/data-structures/tree-data-structure)</span>
-- <time class="date">2020-02-02</time> <span>[Linked List](/series/data-structures/linked-list-data-structure)</span>
-- <time class="date">2020-01-13</time> <span>[Queue Data Structure](/series/data-structures/queue-data-structure)</span>
-- <time class="date">2020-01-06</time> <span>[Stack Data Structure](/series/data-structures/stack-data-structure)</span>
+<ul>
+  <PostAndDate
+    date="2020-02-10"
+    title="Tree Data Structure"
+    url="/series/data-structures/tree-data-structure"
+  />
+  <PostAndDate
+    date="2020-02-02"
+    title="Linked List"
+    url="/series/data-structures/linked-list-data-structure"
+  />
+  <PostAndDate
+    date="2020-01-13"
+    title="Queue Data Structure"
+    url="/series/data-structures/queue-data-structure"
+  />
+  <PostAndDate
+    date="2020-01-06"
+    title="Stack Data Structure"
+    url="/series/data-structures/stack-data-structure"
+  />
+</ul>
 
 ## 2017
 
-- <time class="date">2017-09-30</time> <span>[Learning Python From Zero to Hero](/learning-python-from-zero-to-hero)</span>
+<ul>
+  <PostAndDate
+    date="2017-09-30"
+    title="Learning Python From Zero to Hero"
+    url="/learning-python-from-zero-to-hero"
+  />
+</ul>
 
 </div>

content/cancer-tumor-classification-models/en/metadata.json → content/training-ml-models-for-cancer-tumor-classification/en/metadata.json

@@ -1,7 +1,7 @@
 {
-  "title": "Cancer Tumor Classification Models",
-  "description": "Performance optimizations for the interaction to next paint metric and sharing the learning along the way",
-  "date": "2024-09-15",
+  "title": "Training ML Models for Cancer Tumor Classification",
+  "description": "Training Machine Learning models to classify cancer tumor types: Naive Bayes, Logistic Regression, SVM, KNN, Decision Tree, Random Forest, and XGBoost",
+  "date": "2024-09-13",
   "tags": [
     {
       "href": "/tags/python",
@@ -17,7 +17,7 @@
     }
   ],
   "coverImage": {
-    "src": "/cancer-tumor-classification-models/cover.jpg",
+    "src": "/training-ml-models-for-cancer-tumor-classification/cover.jpg",
     "width": "640",
     "height": "426",
     "alt": "linked neon lights under white painted basement",

public/rss.xml

@@ -11,6 +11,12 @@
     <title>TK's Blog</title>
     <link>https://iamtk.co</link>
   </image>
+  <item>
+    <title>Training ML Models for Cancer Tumor Classification</title>
+    <link>https://www.iamtk.co/training-ml-models-for-cancer-tumor-classification</link>
+    <guid isPermaLink="true">https://www.iamtk.co/training-ml-models-for-cancer-tumor-classification</guid>
+    <description>Training Machine Learning models to classify cancer tumor types: Naive Bayes, Logistic Regression, SVM, KNN, Decision Tree, Random Forest, and XGBoost</description>
+  </item>
   <item>
     <title>The Art of Learning</title>
     <link>https://www.iamtk.co/essays/the-art-of-learning</link>