update: enlist-algos

Avdhesh-Varshney · Jan 19, 2025 · b41727a · b41727a
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diff --git a/docs/algorithms/generative-adversarial-networks/index.md b/docs/algorithms/generative-adversarial-networks/index.md
@@ -42,6 +42,15 @@
   </div>
 </a>
 
+<!-- Info GAN -->
+<a href="info-gan" style="padding: 0 2px 0 16px; background-color: rgba(39, 39, 43, 0.4); border: 1px solid rgba(76, 76, 82, 0.4); border-radius: 10px; box-shadow: 0 4px 8px rgba(0,0,0,0.1); overflow: hidden; transition: transform 0.2s; display: flex; align-items: center;">
+  <img src="https://www.researchgate.net/publication/340884113/figure/fig3/AS:883691647684610@1587699915907/Structure-and-operation-of-InfoGAN-Information-maximizing-Generative-Adversarial.png" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
+  <div style="padding: 15px;">
+    <h2 style="margin: 0; font-size: 20px;">Information Maximizing Generative Adversarial Network</h2>
+    <p style="font-size: 16px;">Empowering Data-Driven Insights with Generative Adversarial Networks for Advanced Information Synthesis.</p>
+    <p style="font-size: 12px;">📅 2025-01-15 | ⏱️ 4 mins</p>
+  </div>
+</a>
 
 
 </div>
diff --git a/docs/algorithms/machine-learning/boosting/index.md b/docs/algorithms/machine-learning/boosting/index.md
@@ -1,11 +1,15 @@
 # Boosting 🤖 
 
-<div style="display: flex; flex-direction: column; align-items: center; text-align: center; background-color: rgba(39, 39, 43, 0.4); border: 1px dashed rgba(76, 76, 82, 0.4); border-radius: 8px; padding: 24px; box-sizing: border-box;">
-  <div style="margin-bottom: 24px; font-size: 32px; color: #6b7280;">
-    <img src="https://github.com/user-attachments/assets/6fc75189-7775-40b3-8de2-b824e0e093f9" alt="" style="width: 80px; height: 80px;" />
+<div style="display: flex; flex-direction: column; gap: 10px;">
+
+<!-- Light GBM -->
+<a href="light-gbm" style="padding: 0 2px 0 16px; background-color: rgba(39, 39, 43, 0.4); border: 1px solid rgba(76, 76, 82, 0.4); border-radius: 10px; box-shadow: 0 4px 8px rgba(0,0,0,0.1); overflow: hidden; transition: transform 0.2s; display: flex; align-items: center;">
+  <img src="https://miro.medium.com/v2/resize:fit:1400/format:webp/1*rE2Yvjc5h7P_u7wrhieAEg.jpeg" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
+  <div style="padding: 15px;">
+    <h2 style="margin: 0; font-size: 20px;">Light Gradient Boosting Machine</h2>
+    <p style="font-size: 16px;">Powerful gradient-boosting framework that can be used for both regression and classification tasks.</p>
+    <p style="font-size: 12px;">📅 2025-01-10 | ⏱️ 4 mins</p>
   </div>
-  <h3 style="font-weight: bold; font-size: 1.25rem; margin-bottom: 12px; letter-spacing: -0.015em;">No Items Found</h3>
-  <p style="font-size: 0.875rem; color: #6b7280; margin-bottom: 24px; margin-left: 16px; max-width: 24rem; line-height: 1.5;">
-    There are no items available at this time. Check back again later.
-  </p>
+</a>
+
 </div>
diff --git a/...hms/machine-learning/boosting/LightGBM.md → ...ms/machine-learning/boosting/light-gbm.md b/...hms/machine-learning/boosting/LightGBM.md → ...ms/machine-learning/boosting/light-gbm.md
diff --git a/docs/algorithms/machine-learning/data-preprocessing/index.md b/docs/algorithms/machine-learning/data-preprocessing/index.md
@@ -1,11 +1,40 @@
 # Data Pre-processing 🤖 
 
-<div style="display: flex; flex-direction: column; align-items: center; text-align: center; background-color: rgba(39, 39, 43, 0.4); border: 1px dashed rgba(76, 76, 82, 0.4); border-radius: 8px; padding: 24px; box-sizing: border-box;">
-  <div style="margin-bottom: 24px; font-size: 32px; color: #6b7280;">
-    <img src="https://github.com/user-attachments/assets/6fc75189-7775-40b3-8de2-b824e0e093f9" alt="" style="width: 80px; height: 80px;" />
-  </div>
-  <h3 style="font-weight: bold; font-size: 1.25rem; margin-bottom: 12px; letter-spacing: -0.015em;">No Items Found</h3>
-  <p style="font-size: 0.875rem; color: #6b7280; margin-bottom: 24px; margin-left: 16px; max-width: 24rem; line-height: 1.5;">
-    There are no items available at this time. Check back again later.
-  </p>
+<div style="display: flex; flex-direction: column; gap: 10px;">
+
+<!-- Encoding -->
+<figure style="padding: 1rem 1rem 0 1rem; background-color: rgba(39, 39, 43, 0.4); border: 1px solid rgba(76, 76, 82, 0.4); border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1); overflow: hidden; transition: transform 0.2s; display: flex; flex-direction: column; align-items: center;">
+  <a href="encoding/" style="width: 100%; display: block;">
+    <img src="https://miro.medium.com/v2/resize:fit:1400/format:webp/1*taMQOp5XfXOICUxHeK-L6g.png" alt="" style="width: 100%; height: 150px; object-fit: cover; border-radius: 10px;" />
+    <figcaption style="padding: 10px; text-align: center; border-top: 1px solid rgba(76, 76, 82, 0.4); border-radius: 0 0 10px 10px;">
+      <h3 style="margin: 0; font-size: 18px;">Encoding</h3>
+      <p style="font-size: 14px; color: #666;">Process of converting categorical data into numerical values</p>
+    </figcaption>
+  </a>
+</figure>
+
+<!-- Imputation -->
+<figure style="padding: 1rem 1rem 0 1rem; background-color: rgba(39, 39, 43, 0.4); border: 1px solid rgba(76, 76, 82, 0.4); border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1); overflow: hidden; transition: transform 0.2s; display: flex; flex-direction: column; align-items: center;">
+  <a href="imputation/" style="width: 100%; display: block;">
+    <img src="https://cdn.prod.website-files.com/6064b31ff49a2d31e0493af1/663085ee172cd6e1a6533ca8_Article%20image%20(4).webp" alt="" style="width: 100%; height: 150px; object-fit: cover; border-radius: 10px;" />
+    <figcaption style="padding: 10px; text-align: center; border-top: 1px solid rgba(76, 76, 82, 0.4); border-radius: 0 0 10px 10px;">
+      <h3 style="margin: 0; font-size: 18px;">Imputation</h3>
+      <p style="font-size: 14px; color: #666;">Technique that replaces missing values in a dataset with estimated values.</p>
+    </figcaption>
+  </a>
+</figure>
+
+<!-- Scaling and Normalization -->
+<figure style="padding: 1rem 1rem 0 1rem; background-color: rgba(39, 39, 43, 0.4); border: 1px solid rgba(76, 76, 82, 0.4); border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1); overflow: hidden; transition: transform 0.2s; display: flex; flex-direction: column; align-items: center;">
+  <a href="scaling-and-normalization/" style="width: 100%; display: block;">
+    <img src="https://kharshit.github.io/img/scaling.png" alt="" style="width: 100%; height: 150px; object-fit: cover; border-radius: 10px;" />
+    <figcaption style="padding: 10px; text-align: center; border-top: 1px solid rgba(76, 76, 82, 0.4); border-radius: 0 0 10px 10px;">
+      <h3 style="margin: 0; font-size: 18px;">Scaling and Normalization </h3>
+      <p style="font-size: 14px; color: #666;">Techniques that transform numerical data values into a common scale.</p>
+    </figcaption>
+  </a>
+</figure>
+
+
+
 </div>
diff --git a/docs/algorithms/machine-learning/index.md b/docs/algorithms/machine-learning/index.md
@@ -1,2 +1,49 @@
 # Machine Learning 🤖 
 
+<div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); gap: 15px;">
+
+<!-- Data Processing -->
+<figure style="padding: 1rem 1rem 0 1rem; background-color: rgba(39, 39, 43, 0.4); border: 1px solid rgba(76, 76, 82, 0.4); border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1); overflow: hidden; transition: transform 0.2s; display: flex; flex-direction: column; align-items: center;">
+  <a href="data-preprocessing/" style="width: 100%; display: block;">
+    <img src="https://framerusercontent.com/images/tcuop20H7fupm3w8fgxSMfql1vc.png" alt="" style="width: 100%; height: 150px; object-fit: cover; border-radius: 10px;" />
+    <figcaption style="padding: 10px; text-align: center; border-top: 1px solid rgba(76, 76, 82, 0.4); border-radius: 0 0 10px 10px;">
+      <h3 style="margin: 0; font-size: 18px;">Data Preprocessing</h3>
+      <p style="font-size: 14px; color: #666;"> Technique that is used to convert the raw data into a clean data set.</p>
+    </figcaption>
+  </a>
+</figure>
+
+<!-- Supervised -->
+<figure style="padding: 1rem 1rem 0 1rem; background-color: rgba(39, 39, 43, 0.4); border: 1px solid rgba(76, 76, 82, 0.4); border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1); overflow: hidden; transition: transform 0.2s; display: flex; flex-direction: column; align-items: center;">
+  <a href="supervised/" style="width: 100%; display: block;">
+    <img src="https://i0.wp.com/eastgate-software.com/wp-content/uploads/2023/10/supervised-learning.png?resize=1140%2C570&ssl=1" alt="" style="width: 100%; height: 150px; object-fit: cover; border-radius: 10px;" />
+    <figcaption style="padding: 10px; text-align: center; border-top: 1px solid rgba(76, 76, 82, 0.4); border-radius: 0 0 10px 10px;">
+      <h3 style="margin: 0; font-size: 18px;">Supervised</h3>
+      <p style="font-size: 14px; color: #666;">Uses labeled datasets to train algorithms to predict outcomes and recognize patterns.</p>
+    </figcaption>
+  </a>
+</figure>
+
+<!-- Unsupervised -->
+<figure style="padding: 1rem 1rem 0 1rem; background-color: rgba(39, 39, 43, 0.4); border: 1px solid rgba(76, 76, 82, 0.4); border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1); overflow: hidden; transition: transform 0.2s; display: flex; flex-direction: column; align-items: center;">
+  <a href="unsupervised/" style="width: 100%; display: block;">
+    <img src="https://images.shiksha.com/mediadata/ugcDocuments/images/wordpressImages/2022_05_Unsupervised-Learning.jpg" alt="" style="width: 100%; height: 150px; object-fit: cover; border-radius: 10px;" />
+    <figcaption style="padding: 10px; text-align: center; border-top: 1px solid rgba(76, 76, 82, 0.4); border-radius: 0 0 10px 10px;">
+      <h3 style="margin: 0; font-size: 18px;">Unsupervised</h3>
+      <p style="font-size: 14px; color: #666;">Uses algorithms to analyze unlabeled data without human intervention</p>
+    </figcaption>
+  </a>
+</figure>
+
+<!-- Boosting -->
+<figure style="padding: 1rem 1rem 0 1rem; background-color: rgba(39, 39, 43, 0.4); border: 1px solid rgba(76, 76, 82, 0.4); border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1); overflow: hidden; transition: transform 0.2s; display: flex; flex-direction: column; align-items: center;">
+  <a href="boosting/" style="width: 100%; display: block;">
+    <img src="https://media.geeksforgeeks.org/wp-content/uploads/20210707140911/Boosting.png" alt="" style="width: 100%; height: 150px; object-fit: cover; border-radius: 10px;" />
+    <figcaption style="padding: 10px; text-align: center; border-top: 1px solid rgba(76, 76, 82, 0.4); border-radius: 0 0 10px 10px;">
+      <h3 style="margin: 0; font-size: 18px;">Boosting</h3>
+      <p style="font-size: 14px; color: #666;">Modeling technique that attempts to build a strong classifier from the number of weak classifiers.</p>
+    </figcaption>
+  </a>
+</figure>
+
+</div>
diff --git a/docs/algorithms/machine-learning/supervised/classifications/index.md b/docs/algorithms/machine-learning/supervised/classifications/index.md
@@ -1,2 +1,11 @@
-# Classifications Algorithms 🤖 
+# Classification Algorithms 🤖 
 
+<div style="display: flex; flex-direction: column; align-items: center; text-align: center; background-color: rgba(39, 39, 43, 0.4); border: 1px dashed rgba(76, 76, 82, 0.4); border-radius: 8px; padding: 24px; box-sizing: border-box;">
+  <div style="margin-bottom: 24px; font-size: 32px; color: #6b7280;">
+    <img src="https://github.com/user-attachments/assets/6fc75189-7775-40b3-8de2-b824e0e093f9" alt="" style="width: 80px; height: 80px;" />
+  </div>
+  <h3 style="font-weight: bold; font-size: 1.25rem; margin-bottom: 12px; letter-spacing: -0.015em;">No Items Found</h3>
+  <p style="font-size: 0.875rem; color: #6b7280; margin-bottom: 24px; margin-left: 16px; max-width: 24rem; line-height: 1.5;">
+    There are no items available at this time. Check back again later.
+  </p>
+</div>
diff --git a/docs/algorithms/machine-learning/supervised/index.md b/docs/algorithms/machine-learning/supervised/index.md
@@ -1,2 +1,27 @@
 # Supervised Machine Learning 🤖 
 
+<div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); gap: 15px;">
+
+<!-- Regressions -->
+<figure style="padding: 1rem 1rem 0 1rem; background-color: rgba(39, 39, 43, 0.4); border: 1px solid rgba(76, 76, 82, 0.4); border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1); overflow: hidden; transition: transform 0.2s; display: flex; flex-direction: column; align-items: center;">
+  <a href="regressions/" style="width: 100%; display: block;">
+    <img src="https://t3.ftcdn.net/jpg/09/64/76/28/360_F_964762890_OavltvCzi3WKpf6FPefsDBNyqpQDtt96.jpg" alt="" style="width: 100%; height: 150px; object-fit: cover; border-radius: 10px;" />
+    <figcaption style="padding: 10px; text-align: center; border-top: 1px solid rgba(76, 76, 82, 0.4); border-radius: 0 0 10px 10px;">
+      <h3 style="margin: 0; font-size: 18px;">Regression</h3>
+      <p style="font-size: 14px; color: #666;">Predicting continuous outcomes with precision.</p>
+    </figcaption>
+  </a>
+</figure>
+
+<!-- Classifications -->
+<figure style="padding: 1rem 1rem 0 1rem; background-color: rgba(39, 39, 43, 0.4); border: 1px solid rgba(76, 76, 82, 0.4); border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1); overflow: hidden; transition: transform 0.2s; display: flex; flex-direction: column; align-items: center;">
+  <a href="classifications/" style="width: 100%; display: block;">
+    <img src="https://png.pngtree.com/thumb_back/fh260/back_our/20190617/ourmid/pngtree-vintage-old-sheepskin-scroll-album-poster-background-material-image_124922.jpg" alt="" style="width: 100%; height: 150px; object-fit: cover; border-radius: 10px;" />
+    <figcaption style="padding: 10px; text-align: center; border-top: 1px solid rgba(76, 76, 82, 0.4); border-radius: 0 0 10px 10px;">
+      <h3 style="margin: 0; font-size: 18px;">Classification</h3>
+      <p style="font-size: 14px; color: #666;">Categorizing data for informed decisions.</p>
+    </figcaption>
+  </a>
+</figure>
+
+</div>
diff --git a/...rvised/regressions/Bayesian_Regression.md → ...arning/supervised/regressions/bayesian.md b/...rvised/regressions/Bayesian_Regression.md → ...arning/supervised/regressions/bayesian.md
diff --git a/docs/algorithms/machine-learning/supervised/regressions/index.md b/docs/algorithms/machine-learning/supervised/regressions/index.md
@@ -1,2 +1,17 @@
-# Regressions Algorithms 🤖 
+# Regression Algorithms 🤖 
 
+<div style="display: flex; flex-direction: column; gap: 10px;">
+
+<!-- Bayesian Regression -->
+<figure style="padding: 1rem 1rem 0 1rem; background-color: rgba(39, 39, 43, 0.4); border: 1px solid rgba(76, 76, 82, 0.4); border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1); overflow: hidden; transition: transform 0.2s; display: flex; flex-direction: column; align-items: center;">
+  <a href="bayesian/" style="width: 100%; display: block;">
+    <img src="https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSnEy8tFATNDlTV8bM0Qi6jAOXbTsSfN1DPWg&s" alt="" style="width: 100%; height: 150px; object-fit: cover; border-radius: 10px;" />
+    <figcaption style="padding: 10px; text-align: center; border-top: 1px solid rgba(76, 76, 82, 0.4); border-radius: 0 0 10px 10px;">
+      <h3 style="margin: 0; font-size: 18px;">Bayesian Regression</h3>
+      <p style="font-size: 14px; color: #666;">Infusing uncertainty with predictions for smarter decision-making.</p>
+    </figcaption>
+  </a>
+</figure>
+
+
+</div>
diff --git a/docs/algorithms/machine-learning/unsupervised/clustering/index.md b/docs/algorithms/machine-learning/unsupervised/clustering/index.md
@@ -1,2 +1,16 @@
 # Clustering Algorithms 🤖 
 
+<div style="display: flex; flex-direction: column; gap: 10px;">
+
+<!-- KMeans Clustering -->
+<a href="kmeans-clustering" style="padding: 0 2px 0 16px; background-color: rgba(39, 39, 43, 0.4); border: 1px solid rgba(76, 76, 82, 0.4); border-radius: 10px; box-shadow: 0 4px 8px rgba(0,0,0,0.1); overflow: hidden; transition: transform 0.2s; display: flex; align-items: center;">
+  <img src="https://miro.medium.com/v2/resize:fit:1132/1*XhflmC8sz-EBgoKcalwEcA.jpeg" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
+  <div style="padding: 15px;">
+    <h2 style="margin: 0; font-size: 20px;">KMeans Clustering</h2>
+    <p style="font-size: 16px;">Unveiling hidden patterns by grouping data into cohesive clusters.</p>
+    <p style="font-size: 12px;">📅 2025-01-19 | ⏱️ 3 mins</p>
+  </div>
+</a>
+
+
+</div>
diff --git a/...upervised/clustering/KMeans_Clustering.md → ...upervised/clustering/kmeans-clustering.md b/...upervised/clustering/KMeans_Clustering.md → ...upervised/clustering/kmeans-clustering.md
@@ -1,4 +1,5 @@
-# K Means Clustering
+# K Means Clustering 
+
 **Overview:**  
 K-means clustering is an unsupervised machine learning algorithm for grouping similar data points together into clusters based on their features.
 

diff --git a/docs/algorithms/machine-learning/unsupervised/dimensionality-reduction/index.md b/docs/algorithms/machine-learning/unsupervised/dimensionality-reduction/index.md
@@ -0,0 +1,11 @@
+# Dimensionality Reduction 🤖 
+
+<div style="display: flex; flex-direction: column; align-items: center; text-align: center; background-color: rgba(39, 39, 43, 0.4); border: 1px dashed rgba(76, 76, 82, 0.4); border-radius: 8px; padding: 24px; box-sizing: border-box;">
+  <div style="margin-bottom: 24px; font-size: 32px; color: #6b7280;">
+    <img src="https://github.com/user-attachments/assets/6fc75189-7775-40b3-8de2-b824e0e093f9" alt="" style="width: 80px; height: 80px;" />
+  </div>
+  <h3 style="font-weight: bold; font-size: 1.25rem; margin-bottom: 12px; letter-spacing: -0.015em;">No Items Found</h3>
+  <p style="font-size: 0.875rem; color: #6b7280; margin-bottom: 24px; margin-left: 16px; max-width: 24rem; line-height: 1.5;">
+    There are no items available at this time. Check back again later.
+  </p>
+</div>
diff --git a/docs/algorithms/machine-learning/unsupervised/index.md b/docs/algorithms/machine-learning/unsupervised/index.md
@@ -1,2 +1,27 @@
 # Unsupervised Machine Learning 🤖 
 
+<div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); gap: 15px;">
+
+<!-- Clustering -->
+<figure style="padding: 1rem 1rem 0 1rem; background-color: rgba(39, 39, 43, 0.4); border: 1px solid rgba(76, 76, 82, 0.4); border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1); overflow: hidden; transition: transform 0.2s; display: flex; flex-direction: column; align-items: center;">
+  <a href="clustering/" style="width: 100%; display: block;">
+    <img src="https://miro.medium.com/v2/resize:fit:1200/1*OLh15KDN1bRT93UcfH4ovA.jpeg" alt="" style="width: 100%; height: 150px; object-fit: cover; border-radius: 10px;" />
+    <figcaption style="padding: 10px; text-align: center; border-top: 1px solid rgba(76, 76, 82, 0.4); border-radius: 0 0 10px 10px;">
+      <h3 style="margin: 0; font-size: 18px;">Clustering</h3>
+      <p style="font-size: 14px; color: #666;">Grouping data to uncover hidden patterns.</p>
+    </figcaption>
+  </a>
+</figure>
+
+<!-- Dimensionality Reduction -->
+<figure style="padding: 1rem 1rem 0 1rem; background-color: rgba(39, 39, 43, 0.4); border: 1px solid rgba(76, 76, 82, 0.4); border-radius: 10px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1); overflow: hidden; transition: transform 0.2s; display: flex; flex-direction: column; align-items: center;">
+  <a href="dimensionality-reduction/" style="width: 100%; display: block;">
+    <img src="https://mlgstorageaccount.blob.core.windows.net/images/159E66FA76F02A1E4D4BF404BC601682.png" alt="" style="width: 100%; height: 150px; object-fit: cover; border-radius: 10px;" />
+    <figcaption style="padding: 10px; text-align: center; border-top: 1px solid rgba(76, 76, 82, 0.4); border-radius: 0 0 10px 10px;">
+      <h3 style="margin: 0; font-size: 18px;">Dimensionality Reduction</h3>
+      <p style="font-size: 14px; color: #666;">Simplifying data while preserving its essence.</p>
+    </figcaption>
+  </a>
+</figure>
+
+</div>