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1. LangChain LangChain Public

   Daily hands-on LangChain practice showcasing real implementations of document loaders, text chunking, embeddings, vector stores, Retrieval-Augmented Generation (RAG), and agents.

   Jupyter Notebook 1

2. Deep-Learning Deep-Learning Public

   Hands-on deep learning practice using Python, TensorFlow, and Jupyter notebooks—covering CNNs, RNNs, LSTMs, embeddings, and optimization techniques.

   Jupyter Notebook

3. Machine-Learning Machine-Learning Public

   Practical machine learning notebooks demonstrating data cleaning, missing value handling, feature engineering, dimensionality reduction, and model-ready preprocessing pipelines using scikit-learn.

   Jupyter Notebook

4. RAG---Vhat-With-Multiple-PDFs RAG---Vhat-With-Multiple-PDFs Public

   A Retrieval-Augmented Generation (RAG) application that allows users to chat with multiple PDF documents using LangChain, Streamlit, and vector databases.

   Python

5. LangGraph LangGraph Public

   Jupyter Notebook 1

6. Powerful-chatbot Powerful-chatbot Public

   Python