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Title : Machine Learning Algorithms based car Purchase Predicting on Customers Demands
Author : EDIGA KISHORE KUMAR GOWD, JANGILI RAVI KISHORE, C SOUNDARYA
One major perk of shopping online is how easy it is to see exactly what things cost. Online retailers greatly benefit from dynamic pricing, even though it is not novel and many utilise it to boost profits. In order to develop the e-commerce platform with the aid of consumers, the suggested research is the outcome of an ongoing project that aims to expand a standard framework and relevant technologies utilising sound system learning algorithms to identify purchases at the optimal price (no longer the lowest price). One of the most visible sectors of the country's economy is the automotive industry. A growing number of people are opting to use this specific vehicle charging station. Prior to making a purchase, the buyer must determine whether the vehicle is suitable for his requirements. Parts, cylinder diameter, headlights, and, most significantly, pricing are just a few of the many criteria and considerations to think about when purchasing a new vehicle. In light of this
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Dr. Arend L Mapanawang, Sp.PD, FINASIM, PhD
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