Paper Title
Car Sales Prediction Using Machine Learning
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Registration ID: IJNRD_303323
Published ID: IJNRD2504016
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Abstract
Sales prediction is the current trend in which all the businesses thrive, and it also aids the concern in determining the future goals for it and its plan and procedure to achieve it. Sales of cars do not contain any independent variable since various factors such as horsepower, model, width, fuel type, height, price, city-mileage, highway-mileage and manufacturer are the various features that influence the sales. The primary problem I want to solve with my project, "Car Sales Prediction," is the challenge of accurately forecasting car sales in an ever-changing market. Manufacturers, dealerships, and investors often struggle with predicting sales due to that influence the market. By addressing this issue, the project aims to provide a more accurate model for predicting car sales, helping stakeholders make better-informed decisions and develop effective marketing strategies. In the existing body of work on car sales prediction, several gaps remain that my project aims to address. traditional prediction models. My project aims to fill these gaps by developing a more prediction model that real-time data and advanced machine learning algorithms. The results of the "Car Sales Prediction" study are Cost Reduction, Customer Satisfaction, Innovation and Improvement. I want to address the problem of car sales prediction for several reasons. Technological Advancement, Consumer Benefits, Sustainability, Personal and Growth.
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Ketan Kumar, Mayank Kumar, & Sunil Kumar Chowdhary (April-2025). Car Sales Prediction Using Machine Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 10(4), a139-a143. https://ijnrd.org/papers/IJNRD2504016.pdf
Issue
Volume 10 Issue 4, April-2025
Pages : a139-a143
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Paper Reg. ID: IJNRD_303323
Published Paper Id: IJNRD2504016
Research Area: Science and Technology
Author Type: Indian Author
Country: Gautam Buddha Nagar, Uttar-Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2504016.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2504016
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