Added Displayn for all projects and algorithms (#152)

Co-authored-by: Avdhesh <114330097+Avdhesh-Varshney@users.noreply.github.com>
Avdhesh-Varshney · Jan 18, 2025 · a950541 · a950541
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diff --git a/docs/algorithms/machine-learning/boosting/index.md b/docs/algorithms/machine-learning/boosting/index.md
@@ -1,11 +1,12 @@
 # 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; 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;"><!-- AC GAN -->
+<a href="LightGBM" 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;">Lighrt 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/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: grid; grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); gap: 15px;">
+
+<!-- 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 +1,50 @@
 # Machine Learning 🤖 
 
+
+<div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); gap: 15px;">
+
+<!-- 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>
+
+<!-- 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>
+
+</div>
diff --git a/docs/algorithms/natural-language-processing/index.md b/docs/algorithms/natural-language-processing/index.md
@@ -1,2 +1,105 @@
-# Natural Language Processing 🗣️ 
+# Natural Language Processing 🗣️
 
+<div style="display: flex; flex-direction: column; gap: 10px;">
+
+<!-- Bag of Words-->
+<a href="Bag_Of_Words" 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:661/0*cf1wq8eIix-Z2qIf.png" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
+  <div style="padding: 15px;">
+    <h2 style="margin: 0; font-size: 20px;">Bag Of Words</h2>
+    <p style="font-size: 16px;">Representation of text that is based on an unordered collection.</p>
+    <p style="font-size: 12px;">📅 2025-01-10 | ⏱️ 3 mins</p>
+  </div>
+</a>
+
+<!--Fast Text -->
+<a href="Fast_Text" 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://amitness.com/posts/images/fasttext-center-word-embedding.png" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
+  <div style="padding: 15px;">
+    <h2 style="margin: 0; font-size: 20px;">Fast Text</h2>
+    <p style="font-size: 16px;">From Facebook AI Research(FAIR) for learning word embeddings and word classifications.</p>
+    <p style="font-size: 12px;">📅 2025-01-15 | ⏱️ 7 mins</p>
+  </div>
+</a>
+
+<!--Global Vectors -->
+<a href="GloVe" 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://nlp.stanford.edu/projects/glove/images/man_woman.jpg" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
+  <div style="padding: 15px;">
+    <h2 style="margin: 0; font-size: 20px;">Gloabl Vectors</h2>
+    <p style="font-size: 16px;">Unsupervised learning algorithm for obtaining vector representations for words.</p>
+    <p style="font-size: 12px;">📅 2025-01-15 | ⏱️ 4 mins</p>
+  </div>
+</a>
+
+<!-- NLP Introduction -->
+<a href="N_L_P_Introduction" 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://images.javatpoint.com/tutorial/nlp/images/what-is-nlp.png" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
+  <div style="padding: 15px;">
+    <h2 style="margin: 0; font-size: 20px;">NLP Introduction</h2>
+    <p style="font-size: 16px;">Enables computers to comprehend, generate, and manipulate human language.</p>
+    <p style="font-size: 12px;">📅 2025-01-15 | ⏱️ 3 mins</p>
+  </div>
+</a>
+
+<!-- NLTK Setup -->
+<a href="NLTK_Setup.md" 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://files.realpython.com/media/NLP-for-Beginners-Pythons-Natural-Language-Toolkit-NLTK_Watermarked.16a787c1e9c6.jpg" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
+  <div style="padding: 15px;">
+    <h2 style="margin: 0; font-size: 20px;">NLTK Setup</h2>
+    <p style="font-size: 16px;">Working with human language data.</p>
+    <p style="font-size: 12px;">📅 2025-01-10 | ⏱️ 2 mins</p>
+  </div>
+</a>
+
+<!-- Text Pre-Processing Techniques -->
+<a href="Text_PreProcessing_Techniques" 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:877/1*pt47uCcCn3X7XNYQg1dghw.png" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
+  <div style="padding: 15px;">
+    <h2 style="margin: 0; font-size: 20px;">Text Pre-Processing Techniques</h2>
+    <p style="font-size: 16px;">Cleaning and preparing raw text data for further analysis or model training.</p>
+    <p style="font-size: 12px;">📅 2025-01-15 | ⏱️ 4 mins</p>
+  </div>
+</a>
+
+<!--Term Frequency-Inverse Document Frequency -->
+<a href="Tf_Idf" 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://i.ytimg.com/vi/zLMEnNbdh4Q/maxresdefault.jpg" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
+  <div style="padding: 15px;">
+    <h2 style="margin: 0; font-size: 20px;">Term Frequency-Inverse Document Frequency</h2>
+    <p style="font-size: 16px;">Measure of importance of a word to a document.</p>
+    <p style="font-size: 12px;">📅 2025-01-15 | ⏱️ 3 mins</p>
+  </div>
+</a>
+
+<!-- Transformers -->
+<a href="Transformers" 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://media.licdn.com/dms/image/D4D12AQHXwdapur6HhA/article-cover_image-shrink_600_2000/0/1700812675354?e=2147483647&v=beta&t=23zB-g39hqPC7odxDdgccmkSSnInQgDNQlXrr4w_swA" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
+  <div style="padding: 15px;">
+    <h2 style="margin: 0; font-size: 20px;">Transformers</h2>
+    <p style="font-size: 16px;">Deep neural network architecture.</p>
+    <p style="font-size: 12px;">📅 2025-01-15 | ⏱️ 4 mins</p>
+  </div>
+</a>
+
+<!--Word2Vec -->
+<a href="Word_2_Vec" 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.scaler.com/topics/images/network-of-word2vec.webp" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
+  <div style="padding: 15px;">
+    <h2 style="margin: 0; font-size: 20px;">Word2Vec</h2>
+    <p style="font-size: 16px;">Creates vector representations of words.</p>
+    <p style="font-size: 12px;">📅 2025-01-15 | ⏱️ 3 mins</p>
+  </div>
+</a>
+
+<!-- Word Embeddings-->
+<a href="Word_Embeddings" 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://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcT_6x753k-U2YNRTxS8UUwDvjMrseSEFcC8FQ&s" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
+  <div style="padding: 15px;">
+    <h2 style="margin: 0; font-size: 20px;">Word Embeddings</h2>
+    <p style="font-size: 16px;">Numeric representations of words in a lower-dimensional space.</p>
+    <p style="font-size: 12px;">📅 2025-01-15 | ⏱️ 3 mins</p>
+  </div>
+</a>
+
+</div>