Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal International Journal of Applied and Advanced Multidisciplinary Research (IJAAMR)
Rangila, Mohammed Munawwar
Unknown Affiliation
Humanities Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Education Social Sciences

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Used Vehicle Price Prediction with Machine Learning Rangila, Mohammed Munawwar; Anuja S. Phapale
International Journal of Applied and Advanced Multidisciplinary Research Vol. 1 No. 2 (2023): October 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijaamr.v1i2.540

Abstract

The automotive industry has experienced significant growth and diversification in recent years. With this growth comes an increase in the demand for used vehicles. However, determining the accurate price of a used vehicle is a complex task due to various factors such as age, mileage, condition, and market trends. Efficient and accurate price prediction and classification are essential for both buyers and sellers in order to make informed decisions. To tackle this challenge, supervised machine learning techniques have gained prominence in recent years. These techniques leverage historical data to train models that can predict and classify the prices of used vehicles. By analyzing large datasets of past sales, these models can identify patterns and relationships between different features of a vehicle and its market value.
Co-Authors Anuja S. Phapale