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Python AI 2010 ID: 1CP0648

Classification of Imbalanced Data in E-Commerce

Keywords: Imbalanced Data, E-Commerce, Machine Learning, Classification, Data Preprocessing, Minority Class Detection

Project Synopsis & Overview

This project focuses on classifying imbalanced e-commerce data, where some categories are represented far less frequently than others. It examines data preprocessing, class-distribution analysis, and classification strategies designed to improve recognition of minority classes. The approach can help evaluate model performance on uneven datasets and support reliable predictions for e-commerce analytics, depending on the dataset and methods used in implementation.

Complete Technical Specifications

Project ID 1CP0648 (DB ID: 648)
Project Title Classification of Imbalanced Data in E-Commerce
Domain Division Python
Sub-Domain / Tech AI
IEEE Year 2010
Package Price ₹6500
Created Date Oct 23, 2026
Project Price
₹6500 ₹8000 20% OFF
100% Executable Source Code & DB
IEEE Journal Paper Synopsis & PPT
1-on-1 AnyDesk/Zoom Live Setup Support
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