Dataset: Car Price Prediction Dataset

About this Dataset

Car Price Prediction Dataset

Car price prediction is a major research topic in machine learning. It's based on finance and marketing, and is a key area of research because car prices depend on many factors.

Key features:

Car_Name: Identify the brand or company name along with the specific model of each vehicle.
Year: Discover the manufacturing year of the vehicles, crucial for assessing depreciation and technology advancements.
Selling_Price: Selling price of car
Present_Price: Current origin price of car
Kms_Driven: Obtain the mileage of each vehicle, a key indicator of wear and tear and potential maintenance requirements.
Fuel_Type: Learn about the type of fuel the vehicles run on, whether it's petrol or diesel.
Seller_Type: Seller type weather dealer or individual
Transmission: Determine the transmission type, whether automatic, manual, or another variant.
Owner: How many owner of car (0, 1, 2, or 3)

Tables

Car Prediction Data

@kaggle.bhavikjikadara_car_price_prediction_dataset.car_prediction_data

11.53 KB
301 rows
9 columns


CREATE TABLE car_prediction_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
);