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Showing results for Masterclass Vector
GitHub Repo https://github.com/satkarpuri/Numpy

satkarpuri/Numpy

NumpPy Masterclass: Fundamentals, Array Operations, and Vectorized Data Analysis with a Zomato Sales Case Study
GitHub Repo https://github.com/pardhusadhu5/masterclass1

pardhusadhu5/masterclass1

This project classifies Twitter tweets into Positive, Negative, or Neutral sentiments using NLP and embedding techniques. Tweets are cleaned, converted into vector embeddings, and analyzed using machine learning models like Logistic Regression and XGBoost. The project includes EDA, confusion matrix, evaluation metrics, and custom predictions.
GitHub Repo https://github.com/pardhusadhu5/masterclass2

pardhusadhu5/masterclass2

This project builds a Semantic Search and RAG system for e-commerce product reviews using NLP, Sentence-Transformers, and FAISS. It retrieves results based on meaning instead of keywords by generating vector embeddings and similarity search. The system also generates natural language responses using Retrieval-Augmented Generation techniques.
GitHub Repo https://github.com/Emkon/claude-code-agentic-rag-masterclass

Emkon/claude-code-agentic-rag-masterclass

A production RAG chat app built with FastAPI, React, and Supabase. Features PDF ingestion, local vector embeddings, pgvector similarity search, streaming LLM responses via Groq, and Supabase Realtime status updates — built module by module as an agentic coding masterclass.