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1. LangChain LangChain Public

   🧠 A practical collection of small projects and examples to explore LangChain, prompt templates, LLM chatbots, embeddings, JSON schema, and more — designed for hands-on learning and experimentation.

   Python

2. NaturalLanguageProcessing NaturalLanguageProcessing Public

   Beginner-friendly notes and resources on Natural Language Processing (NLP), covering text preprocessing, vectorization, embeddings, models, and project pipeline.

   Jupyter Notebook

3. DeepLearning DeepLearning Public

   Learn Deep Learning from scratch with hands-on implementations of ANN, CNN, RNN, and NLP models.

   Jupyter Notebook

4. MachineLearning MachineLearning Public

   A collection of machine learning projects and experiments showcasing supervised, unsupervised, and deep learning techniques with practical implementations and real-world datasets.

   Jupyter Notebook

5. PySpark PySpark Public

   A beginner-friendly PySpark learning repository that covers essential functions, transformations, and actions to get started with big data processing and distributed computing. Perfect for those ne...

   Jupyter Notebook

6. Docker Docker Public

   📦 A practical Docker learning log and cheat sheet covering installation, commands, Dockerfiles, Compose, registries, and orchestration. Perfect for DevOps and containerization beginners and practit...