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sellers

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This repository includes my House Prices Multi-Variate Linear Regression-Flatiron School Module 2 Project. In this project I made use of the OSEMN methodology incorporating packages such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn.

  • Updated Apr 28, 2020
  • Jupyter Notebook

A scalable multi-vendor grocery eCommerce application developed with MongoDB, Express.js, React (Vite), and Node.js. Features include JWT authentication, secure email OTP verification, role-based dashboards (Admin/Seller/User), and dynamic product & order management.

  • Updated Feb 24, 2026
  • JavaScript

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