Used Car Price Prediction
predict the selling price of used cars with high accuracy using decision tree
@kaggle.pushpakhinglaspure_used_car_price_prediction
predict the selling price of used cars with high accuracy using decision tree
@kaggle.pushpakhinglaspure_used_car_price_prediction
This project aims to predict the selling price of used cars with high accuracy using decision tree regression and random forest regression models. a comprehensive dataset containing various car features like model, year, km_driven, fuel type, and ownership history. By analyzing these features and their relationships with the selling price, I aim to build a robust and generalizable model that can inform buyers, sellers, and other stakeholders in the used car market.
CREATE TABLE cardekho_data (
"car_name" VARCHAR,
"year" BIGINT,
"selling_price" DOUBLE,
"present_price" DOUBLE,
"kms_driven" BIGINT,
"fuel_type" VARCHAR,
"seller_type" VARCHAR,
"transmission" VARCHAR,
"owner" BIGINT
);
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