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Used car price prediction using Machine Learning

Used car price prediction using Machine Learning

Rp 1299

Rp 4999

Used car price prediction using machine learning involves building a predictive model that can estimate the price of a used car based on various features such as the car's age, mileage, model, make, and condition.

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Has discount
Expiry period Lifetime
Made in English
Last updated at Fri Apr 2023
Level
Intermediate
Total lectures 5
Total quizzes 0
Total duration 00:25:03 Hours
Total enrolment 4
Number of reviews 0
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Short description Used car price prediction using machine learning involves building a predictive model that can estimate the price of a used car based on various features such as the car's age, mileage, model, make, and condition.
Outcomes
  • Machine learning models can analyze large amounts of data and identify patterns that human analysts may miss. This can lead to more accurate predictions of used car prices, helping dealerships, buyers, and sellers to make better pricing decisions.
  • the use of machine learning, the process of analyzing used car prices can be automated, saving time and resources. Dealerships, buyers, and sellers can quickly obtain accurate pricing information without the need for extensive manual research.
  • Machine learning models can provide detailed insights into how prices are calculated, which can increase transparency in the used car market. This can help build trust between buyers and sellers and make the market more efficient.
  • y accurately predicting used car prices, dealerships can provide a better customer experience by offering fair prices and avoiding the need for lengthy negotiations.
Requirements
  • Basic Programming Language