From 77c70c41f15b9c6ef8d968a88c5b6ce2a3f6ee23 Mon Sep 17 00:00:00 2001
From: Chandler Carnes <chcarnes12@gmail.com>
Date: Wed, 14 Feb 2024 18:58:27 -0500
Subject: [PATCH] Made changes to README

---
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 README.md |  48 ++++++++++++++++++++++++++++++++++++++++++++++--
 2 files changed, 46 insertions(+), 2 deletions(-)
 create mode 100644 .DS_Store

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diff --git a/README.md b/README.md
index d75c525..d9216a1 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +1,46 @@
-# 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.