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ISSN 2996-8380
Machine Learning
Vol. Scholarly Debut, Issue Winter 2025/2026, 2025January 30, 2026 CEST

Predicting Laptop Prices Using Machine Learning and Feature Engineering

Qianlong He,
pricing of laptopsmachine learningregression modelfeature engineeringconsumer electronicspredictive analytics.
Copyright Logoccby-4.0 • https://doi.org/10.70121/001c.147473
Photo by Alex Knight on Unsplash

Articles in Vol. Scholarly Debut, Issue Winter 2025/2026, 2025

Vol. Scholarly Debut, Issue Winter 2025/2026, 2025
  • Greenwashing: Beyond Consumer Protection
    Samuel Lin
  • The Gut Instinct: Microbiota’s Hidden Role in Psychological Well-Being
    Vivaana Bhakta
  • How Quickly is Mumbai’s Financial Sector Picking Up Blockchain-based KYC Solutions in Preventing Identity Fraud?
    Gyaana Khanna
  • How Wearable Sensors Promote Public Health Through Chronic Disease Management
    Hongbo Wang
  • Safety Regulation Impact on Weakened Economy: Japan nuclear industry and macroeconomic analysis post Fukushima Daiichi nuclear accident
    Arshia Shrimali
  • Predicting Laptop Prices Using Machine Learning and Feature Engineering
    Qianlong He
  • How Does Instagram Influence Consumerism and Spending Patterns Among Adolescents Aged 14/18, Through the Lens of Veblen’s Theory of Conspicuous Consumption
    Aadya Khanna
  • Islam and Arabic, Limits to the French Colonial Mission: A Comparative Study of Senegal and Gabon
    Mu (Tammy) Chen
  • Using Meteorological and Geospatial Data to Investigate November 2013 Typhoon Haiyan’s Impact in the Philippines
    Charles Wang
  • The Effect of Music Therapy on Pregnant Women
    Erin Fang
  • Emotions and Cognition in the Moral Brain: A Neuroscientific Review of the Dual-Process Theories of Decision Making
    Wade Eubank
  • Stellar Characteristics of the Solar Neighborhood: Machine Learning Insights for Space Navigation from Gaia Data Release 3
    Ishant YenamandraVishakh HariKrish Bahl
Scholarly Review Journal
He, Qianlong. 2026. “Predicting Laptop Prices Using Machine Learning and Feature Engineering.” Scholarly Review Journal Scholarly Debut (Winter 2025/2026). https://doi.org/10.70121/001c.147473.
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