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11PRIMUS committed Jan 27, 2025
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0 ...rvised/regressions/AdaBoost_Regression.md → ...arning/supervised/regressions/adaboost.md
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150 changes: 141 additions & 9 deletions docs/algorithms/machine-learning/supervised/regressions/index.md
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<div style="display: flex; flex-direction: column; gap: 10px;">

<!-- Linear Regression -->
<a href="linear" 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.digitalvidya.com/blog/wp-content/uploads/2019/03/Linear-Regression.jpg" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
<!-- AdaBoost Regression -->
<a href="adaboost" 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.kdnuggets.com/wp-content/uploads/arya_implementing_adaboost_scikitlearn_1.png" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
<div style="padding: 15px;">
<h2 style="margin: 0; font-size: 20px;">Linear Regression</h2>
<p style="font-size: 16px;">Understanding the relationship between two variables.</p>
<p style="font-size: 12px;">📅 2025-01-19 | ⏱️ 2 mins</p>
<h2 style="margin: 0; font-size: 20px;">AdaBoost Regression</h2>
<p style="font-size: 16px;">Iteratively correcting errors to improve accuracy</p>
<p style="font-size: 12px;">📅 2025-01-27 | ⏱️ 2 mins</p>
</div>
</a>

<!-- Bayesian Regression -->
<a href="bayesian" 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:ANd9GcSnEy8tFATNDlTV8bM0Qi6jAOXbTsSfN1DPWg&s" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
<img src="https://imgs.search.brave.com/3JjXAljvJ5B-HNQSAgxPF3UGnVMwDpos_PbUPs9zzCE/rs:fit:860:0:0:0/g:ce/aHR0cHM6Ly9ncmVn/b3J5Z3VuZGVyc2Vu/LmNvbS9pbWFnZS9s/aW5iYXllcy9vbHNf/YmF5ZXNfY29tcGFy/aXNvbi5wbmc" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
<div style="padding: 15px;">
<h2 style="margin: 0; font-size: 20px;">Bayesian Regression</h2>
<p style="font-size: 16px;">Infusing uncertainty with predictions for smarter decision-making.</p>
<p style="font-size: 12px;">📅 2025-01-19 | ⏱️ 3 mins</p>
</div>
</a>
<!-- logistic regression -->
<a href="logistic-regression" 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;">

<!-- Decision Tree Regression -->
<a href="decision-tree" 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://imgs.search.brave.com/RoUzVZWl0W0U0DhQj2l30psdD8KGh-5OYXrMIbocSPE/rs:fit:860:0:0:0/g:ce/aHR0cHM6Ly9tbGph/ci5jb20vYmxvZy92/aXN1YWxpemUtZGVj/aXNpb24tdHJlZS9z/dXBlcnRyZWVfY2xh/c3NpZmljYXRpb24u/anBn" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
<div style="padding: 15px;">
<h2 style="margin: 0; font-size: 20px;">Decision Tree Regression</h2>
<p style="font-size: 16px;">Making decisions based on feature values to predict outcomes in a clear, interpretable way</p>
<p style="font-size: 12px;">📅 2025-01-27 | ⏱️ 4 mins</p>
</div>
</a>

<!-- Elastic Net Regression -->
<a href="elastic-net" 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://imgs.search.brave.com/guPuCAmuSVxNuDT5c6xw45Zf4Z3ODoALkVsEGpta6Jo/rs:fit:860:0:0:0/g:ce/aHR0cHM6Ly9wcmV2/aWV3LnJlZGQuaXQv/bWF3c2Jyb3MwYnY0/MS5wbmc_d2lkdGg9/NDI0JmZvcm1hdD1w/bmcmYXV0bz13ZWJw/JnM9MTkxODEyZDAx/ZTZkMzNiYWVlMWZm/NjVhODg3OTExYzUy/ODYzMDNhYg" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
<div style="padding: 15px;">
<h2 style="margin: 0; font-size: 20px;">Elastic Net Regression</h2>
<p style="font-size: 16px;">Balancing feature selection and regularization for optimal prediction</p>
<p style="font-size: 12px;">📅 2025-01-27 | ⏱️ 2 mins</p>
</div>
</a>

<!-- Gradient Boosting Regression -->
<a href="gradient-boosting" 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://imgs.search.brave.com/e4uSEGWkDhh_g5RSmHm8cMeUQSqxFEMrVyoqsm8aXMk/rs:fit:860:0:0:0/g:ce/aHR0cHM6Ly9pbnNp/ZGVsZWFybmluZ21h/Y2hpbmVzLmNvbS93/cC1jb250ZW50L3Vw/bG9hZHMvMjAyMi8w/Ny9maWcyLjAwMS03/Njh4NDMyLmpwZWc" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
<div style="padding: 15px;">
<h2 style="margin: 0; font-size: 20px;">Gradient Boosting Regression</h2>
<p style="font-size: 16px;">Builds strong models by correcting weak learners.</p>
<p style="font-size: 12px;">📅 2025-01-27 | ⏱️ 2 mins</p>
</div>
</a>

<!-- Huber Regression -->
<a href="huber" 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://imgs.search.brave.com/1Am0IyqGQWRqMCO8Teu2_-Y_CJbhYOs_1ok3agGxIDs/rs:fit:860:0:0:0/g:ce/aHR0cHM6Ly9mYXN0/ZXJjYXBpdGFsLmNv/bS9pL1JvYnVzdC1y/ZWdyZXNzaW9uLS1S/b2J1c3RpZnlpbmct/TW9kZWxzLWFnYWlu/c3QtSGV0ZXJvc2tl/ZGFzdGljaXR5LS1U/aGUtSHViZXItTG9z/cy1GdW5jdGlvbi1h/bmQtSXRzLUFwcGxp/Y2F0aW9uLndlYnA" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
<div style="padding: 15px;">
<h2 style="margin: 0; font-size: 20px;">Huber Regression</h2>
<p style="font-size: 16px;">Balances squared and absolute loss for robustness.</p>
<p style="font-size: 12px;">📅 2025-01-27 | ⏱️ 2 mins</p>
</div>
</a>

<!-- K-Nearest Neighbors Regression -->
<a href="k-nearest-neighbor" 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://imgs.search.brave.com/vWavelzSf-YOBarHPSRzRI9WJxeC8HH0Zx869l-WbWg/rs:fit:860:0:0:0/g:ce/aHR0cDovL2RhdGFn/eS5pby93cC1jb250/ZW50L3VwbG9hZHMv/MjAyMi8wMi9TaG93/aW5nLXRoZS1maXZl/LWNsb3Nlc3QtbmVp/Z2hib3JzLWluLUtO/Ti1pbi1QeXRob24t/U2tsZWFybi5wbmc" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
<div style="padding: 15px;">
<h2 style="margin: 0; font-size: 20px;">K Nearest Neighbors Regression</h2>
<p style="font-size: 16px;">KNN predicts by averaging the nearest neighbors</p>
<p style="font-size: 12px;">📅 2025-01-27 | ⏱️ 3 mins</p>
</div>
</a>

<!-- Lasso Regression -->
<a href="lasso" 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://imgs.search.brave.com/JFuCNLK6f9pZgWSfY_glFBL0k2Y5_C5Riks41qRRNuk/rs:fit:860:0:0:0/g:ce/aHR0cHM6Ly9zY2lr/aXQtbGVhcm4ub3Jn/L3N0YWJsZS9faW1h/Z2VzL3NwaHhfZ2xy/X3Bsb3RfbGFzc29f/bGFyc19pY18wMDEu/cG5n" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
<div style="padding: 15px;">
<h2 style="margin: 0; font-size: 20px;">Lasso Regression</h2>
<p style="font-size: 16px;">Lasso shrinks coefficients, promoting sparsity.</p>
<p style="font-size: 12px;">📅 2025-01-27 | ⏱️ 2 mins</p>
</div>
</a>

<!-- Linear Regression -->
<a href="linear" 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.digitalvidya.com/blog/wp-content/uploads/2019/03/Linear-Regression.jpg" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
<div style="padding: 15px;">
<h2 style="margin: 0; font-size: 20px;">Linear Regression</h2>
<p style="font-size: 16px;">Understanding the relationship between two variables.</p>
<p style="font-size: 12px;">📅 2025-01-19 | ⏱️ 2 mins</p>
</div>
</a>


<!-- Logistic regression -->
<a href="logistic" 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://static.javatpoint.com/tutorial/machine-learning/images/logistic-regression-in-machine-learning.png" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
<div style="padding: 15px;">
<h2 style="margin: 0; font-size: 20px;">Logistic Regression</h2>
Expand All @@ -31,4 +103,64 @@
</div>
</a>

<!-- Neural Network Regression -->
<a href="neural-network" 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://imgs.search.brave.com/FjA-XTLnW25Hn4W4oxqSs8glDkk78OmFblWmtI_3U8Y/rs:fit:860:0:0:0/g:ce/aHR0cHM6Ly93d3cu/c2NhbGVyLmNvbS90/b3BpY3MvaW1hZ2Vz/L211bHRpcGxlLWxp/bmVhci1yZWdyZXNz/aW9uLTEud2VicA" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
<div style="padding: 15px;">
<h2 style="margin: 0; font-size: 20px;">Neural Network Regression</h2>
<p style="font-size: 16px;">Neural Networks model complex, non-linear relationships.</p>
<p style="font-size: 12px;">📅 2025-01-27 | ⏱️ 3 mins</p>
</div>
</a>

<!-- Polynomial Regression -->
<a href="polynomial" 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://imgs.search.brave.com/wka7xemTCTdjBuAmYwXtmetvAhvA7Bm5PVM5Be-EDTs/rs:fit:860:0:0:0/g:ce/aHR0cHM6Ly9tZWRp/YS5nZWVrc2Zvcmdl/ZWtzLm9yZy93cC1j/b250ZW50L3VwbG9h/ZHMvMjAyMzA2MDIy/MjEwMDUvZG93bmxv/YWQtKDIpLnBuZw" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
<div style="padding: 15px;">
<h2 style="margin: 0; font-size: 20px;">Polynomial Regression</h2>
<p style="font-size: 16px;">Captures non-linear trends with higher-degree terms.</p>
<p style="font-size: 12px;">📅 2025-01-27 | ⏱️ 2 mins</p>
</div>
</a>

<!-- Random Forest Regression -->
<a href="random-forest" 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://imgs.search.brave.com/Ic7HjHpRSPASd7LBnaPXmnX53j6xs1J-x47X5eDGrP8/rs:fit:860:0:0:0/g:ce/aHR0cHM6Ly9tZWRp/YS5nZWVrc2Zvcmdl/ZWtzLm9yZy93cC1j/b250ZW50L3VwbG9h/ZHMvMjAyNDAxMzAx/NjI5MzgvcmFuZG9t/LndlYnA" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
<div style="padding: 15px;">
<h2 style="margin: 0; font-size: 20px;">Random Forest Regression</h2>
<p style="font-size: 16px;">Random Forest aggregates many decision trees for better accuracy.</p>
<p style="font-size: 12px;">📅 2025-01-27 | ⏱️ 3 mins</p>
</div>
</a>

<!-- Ridge Regression -->
<a href="ridge" 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://imgs.search.brave.com/onukt8IRIna4peTmGRDaS72AtRoPOk0gAJp9jbfrXc4/rs:fit:860:0:0:0/g:ce/aHR0cHM6Ly9tZWRp/YS5nZWVrc2Zvcmdl/ZWtzLm9yZy93cC1j/b250ZW50L3VwbG9h/ZHMvMjAyNDA2MTEx/ODU3NDAvVW5kZXJz/dGFuZGluZy1SaWRn/ZS1SZWdyZXNzaW9u/LWNvcHkud2VicA" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
<div style="padding: 15px;">
<h2 style="margin: 0; font-size: 20px;">Ridge Regression</h2>
<p style="font-size: 16px;">Ridge applies regularization to prevent overfitting.</p>
<p style="font-size: 12px;">📅 2025-01-27 | ⏱️ 2 mins</p>
</div>
</a>

<!-- Support Vector Regression -->
<a href="support-vector" 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://imgs.search.brave.com/fET6OovqwHmnyUQZyk1HueiBVxKm6LL-VUM5SAB3xiA/rs:fit:860:0:0:0/g:ce/aHR0cHM6Ly9jZG4u/YW5hbHl0aWNzdmlk/aHlhLmNvbS93cC1j/b250ZW50L3VwbG9h/ZHMvMjAyNC8wNS9p/bWFnZS0zNzUucG5n" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
<div style="padding: 15px;">
<h2 style="margin: 0; font-size: 20px;">Support Vector Regression</h2>
<p style="font-size: 16px;">Finds the optimal line with a balance between margin and accuracy.</p>
<p style="font-size: 12px;">📅 2025-01-27 | ⏱️ 2 mins</p>
</div>
</a>

<!-- XGBoost Regression -->
<a href="xg-boost" 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://imgs.search.brave.com/TtX7gPev06y2WV9NUXm9GEmKa3W27o97YfMuj1G-_og/rs:fit:860:0:0:0/g:ce/aHR0cHM6Ly9mb3Jl/Y2FzdGVneS5jb20v/aW1nL3hnYm9vc3Qt/cmVncmVzc2lvbi1w/eXRob24tdHV0b3Jp/YWwvdHJ1ZS12cy1w/cmVkaWN0ZWQtcGxv/dC5wbmc" alt="" style="width: 300px; height: 150px; object-fit: cover; border-radius: 10px;" />
<div style="padding: 15px;">
<h2 style="margin: 0; font-size: 20px;">XGBoost Regression</h2>
<p style="font-size: 16px;">Improves predictions using gradient boosting and regularization</p>
<p style="font-size: 12px;">📅 2025-01-27 | ⏱️ 2 mins</p>
</div>
</a>

</div>
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