Αποτελέσματα Αναζήτησης
18 Αυγ 2020 · We have used regression analysis and have predicted the selling price of the car based on various features of the cars, including the present price of the cars.
11 Αυγ 2020 · A Machine Learning Project that uses Random Forest Regressor model to predict used cars price based on some attributes such as kilometers driven, age, number of previous owners etc.
23 Νοε 2020 · They want to understand the factors affecting the pricing of cars in the American market, since those may be very different from the Japanese market. Essentially, the company wants to know: Which variables are significant in predicting the price of a car; How well those variables describe the price of a car
Used car pricing today is often varied, based off a relatively small feature set, and is some variant of linear regression. Here, we try various deep learning architectures that incorporate more features in order to better predict used car prices than other models in existing literature today. Specifically, we compare performance between
14 Οκτ 2020 · First, to estimate the price of used cars by taking into account a set of features, based on historical data. Second, to get a better understanding on the most relevant features that help determine the price of a used vehicle.
22 Μαρ 2021 · A project using linear regression to predict house prices, analyzing key features that influence home sale values for potential buyers.
25 Ιουλ 2023 · As a Data Scientist, you are given the task of creating an automated system that predicts the selling price of cars based on various features (information) such as the car’s model name,...
