<eBay Price Prediction Pipeline />
Python
BeautifulSoup
Pandas
Scikit-learn
Data Analysis
Machine Learning
An end-to-end machine learning pipeline that scrapes, processes, and analyzes eBay product listings to predict market prices. The system collects data from 10,000+ listings, engineers features including product condition, seller ratings, shipping costs, and historical price trends, then applies regression models to generate accurate pricing insights. Achieved 87% prediction accuracy (R² = 0.85) through careful feature engineering and model optimization.
Problem Solved
Helps sellers price their products competitively and buyers identify fair market values by analyzing thousands of historical listings to predict optimal pricing.
Target Audience
eBay sellers, e-commerce analysts, data scientists, students learning ML pipelines