E-commerce Pricing Intelligence

A data-driven Machine Learning Pipeline for predicting laptop resale and retail values. This model utilizes advanced regression techniques to handle the fast-paced hardware market fluctuations.

Algorithmic Approach

• Primary Model: Multiple Linear & Polynomial Regression for curved market trends.
• Alternative logic: Includes K-Nearest Neighbors (KNN) to compare a device against "similar recently sold" listings.
• Feature Selection: Automatically weights the impact of CPU generation vs. RAM capacity vs. GPU power.

Application

Best suited for e-commerce platforms, price comparison engines, and trade-in valuation tools.