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@@ -334,7 +334,8 @@ <h3 class="page-title white-text teal">About</h3>
             Stacking, SVM, XGBM, Bagging Methods, Cascading Classifiers.</li>
             <li><b>Data Mining:</b> PCA, t-SNE, Recommendation Systems & Matrix Factorization, and Clustering - K Means, Hierarchical, DBSCAN.</li>
             <li><b>Time series analysis/Forecasting:</b> AR, ARMA, ARIMA, and SARIMA.</li>
-            <li><b>Deep Learning:</b> Artificial Neural Networks and Convolutional Neural Networks.</li>
+            <li><b>Deep Learning:</b> Artificial Neural Networks, Convolutional Neural Networks, Multilayer Perceptron, Long Short Term 
+Memory(LSTM), Recurrent Neural Network(RNN) and Generative adversarial networks(GAN).</li>
             <li><b>Product Development:</b> Agile Methodology, Product Life Cycle, JIRA for Ticketing, Git, GitHub.</li>
             <li><b>Others:</b> Tableau, Flask, AWS EC-2, Streamlit and Heroku.</li>
           </ul>