#K-means-clustering
Showing 10 of 10 repositories tagged #k-means-clustering, ranked by stars
Organize and classify files based on their content using NLP
📊 30 Days of Data Science is a daily challenge to guide you through Data Science essentials. From basics to advanced, this repo offers clear examples, practical exercises, and resources to help you master Data Science, one day at a time. Whether you're new or refining your skills, this challenge has something for you. Join the journey now! 🚀
Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.
Exploratory analysis, visualization of stock market data along with predictions made on it using different techniques.
zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib
🏠 An AI real estate app featuring secure auth, conversation management, & personalized property recommendations. Powered by Agentic AI, RAG (w/ Pinecone), GraphRAG (w/ Neo4j), MCP, kNN, K‑Means Clustering, CoT, LangGraph, and a Mixture‑of‑Experts ensemble to deliver accurate, effective, and scalable AI insights. Also features a VS Code extension!
Data Science Massive Open Online Course: All the code, notes and supplementary materials generated during the course of my data scientific learning.
Using K-Means algorithm for customer segmentation due to credit card behavior
Big Data Analytics [BDA] Mini Project