{"repo":"saitejabandaru-in/big-data-clustering-analytics","free":true,"listed":false,"github":"https://github.com/saitejabandaru-in/big-data-clustering-analytics","clone":"git clone https://github.com/saitejabandaru-in/big-data-clustering-analytics.git","description":"Scalable clustering framework for big data using KMeans++, DBSCAN, BIRCH, OPTICS and DENCLUE, applied to NYC Taxi mobility analytics and credit card fraud detection.","language":"Python","stars":11,"topics":["analytics","big-data","clustering","data-science","dbscan","kmeans","machine-learning","python"],"license":"MIT","category":"analytics","readme_excerpt":"🚕 Urban Mobility       💳 Fraud Detection       🧠 Scalable Clustering 🔍 What is this project? This repository contains a real-world, scalable clustering system designed to discover patterns and anomalies in large, complex datasets. The project focuses on two impactful domains: - Urban Mobility Analysis (NYC Taxi Trips) - Credit Card Fraud Detection The goal is to show how modern clustering algorithms such as KMeans++, DBSCAN, OPTICS, BIRCH, and DENCLUE perform when applied to big data and high-dimensional data — the kind of problems faced in industry. This is not a toy example — it is a research-grade and production-inspired clustering framework . --- 🧠 Why this matters Real-world data is: - Large - Noisy - High-dimensional - Mostly unlabeled Traditional clustering methods break at this scale. This project demonstrates how scalable and density-based algorithms can uncover: - Mobility patterns in a smart city - Anomalous transactions in financial data - Meaningful clusters without labels --- 📊 Datasets Used This project uses two publicly available Kaggle datasets: 🚕 NYC Taxi Trip Duration Dataset Used to analyze: - High-demand routes - Travel-time clusters - Trip distance vs duration - Urban movement behavior Features: - Pickup & drop-off coordinates - Trip distance (computed using Euclidean distance) - Trip duration - Passenger count --- 💳 Credit Card Fraud Detection Dataset A real-world financial dataset with: - 284,807 transact","default_branch":null,"files":null,"tree":[],"storefront":"/r/saitejabandaru-in","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/saitejabandaru-in/big-data-clustering-analytics/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}