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-# NLP-with-Deep-Learning
-In this repository, i will be making some cool projects in NLP from basic to intermediate level.
+# NLP with Deep Learning
+
+This repository contains various deep learning projects and examples related to Natural Language Processing. Below is a brief overview of the contents:
+
+## Projects:
+
+1. **GPT/GPT-2 Text Generation**:
+   - Demonstrates text generation using OpenAI's GPT and GPT-2 models.
+   
+2. **Kaggle Fake News Classifier**:
+   - Implementation of a model to classify fake news using Kaggle dataset.
+   
+3. **Multi-Label Text Classification**:
+   - Example of multi-label text classification tasks.
+
+4. **NMT using Attention and Transformers**:
+   - Neural Machine Translation using attention mechanisms and transformer models.
+
+5. **Named Entity Recognition**:
+   - Identifying and classifying named entities in text data.
+
+6. **Neural Machine Translation using seq2seq model**:
+   - Implementation of seq2seq model for neural machine translation.
+
+7. **PREPROCESSING TECHNIQUES**:
+   - Examples of preprocessing techniques, including handling imbalanced data in spam classification.
+
+8. **Sentiment Analysis of Movie Reviews**:
+   - Sentiment analysis of movie reviews using deep learning models.
+
+9. **Text Summarization using Transformers**:
+   - Text summarization tasks utilizing transformer models.
+
+10. **Twitter Sentiment Analysis Using LSTM RNN**:
+    - Sentiment analysis of Twitter data using LSTM recurrent neural networks.
+
+11. **Basic RNN Example**:
+    - Simple example demonstrating the use of recurrent neural networks.
+
+12. **Basic Spam Classifier**:
+    - Basic spam classifier implementation.
+
+13. **YouTube Channel Classifier**:
+    - Classifier for categorizing YouTube channels.
+
+Feel free to explore each project folder for implentations.