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Added Displayn for all projects and algorithms #152

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Jan 18, 2025
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Added Displayn for all projects and algorithms #152

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Added Displayn for all projects and algorithms
ash01825 Jan 17, 2025
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Merge branch 'main' into main
Avdhesh-Varshney Jan 18, 2025
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15 changes: 8 additions & 7 deletions docs/algorithms/machine-learning/boosting/index.md
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# 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>
45 changes: 37 additions & 8 deletions docs/algorithms/machine-learning/data-preprocessing/index.md
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# 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>
48 changes: 48 additions & 0 deletions docs/algorithms/machine-learning/index.md
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# 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>
105 changes: 104 additions & 1 deletion docs/algorithms/natural-language-processing/index.md
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# 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>
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