Used Car Price Prediction
This project aims to analyze how features of a used-car influence its market price and to predict the price based on the car features in the given data. The final product of the project are machine learning models that can predict market value estimation of a used car given its features. The organized sector is dominating the German used car market due to higher network chains with a record of satisfactory relationship with their customers. This gives the organized dealerships an edge over the unorganized dealers in terms of enhanced quality of documentation process, certified inspection and many other factors. Additionally, the multi-brand dealerships recorded a larger market share in the organized used car market. To predict the price of used cars, the business would require pointers about various features pertaining to the used car. The study will aid in price prediction based on the trained model on used car dataset and give insights on how price varies depending on the features.
About Me
I am an aspiring Machine Learning Engineer and have been working in this field for the past 8 months. Prior to that I do have around 4 years of web api testing experience.
$ 10 USD/hr
NEW FREELANCER!
