car-price-regression-model 3.0.1

regression model package from Train In Data.

CAR PRICE PREDICTION

A machine learning program that predicts the price of cars as seen in the dataset given. This program uses a simple ensemble regressor algorithm to predict a reasonable Manufacturer suggested retail price for cars.

Data set and its description

Data	Description
Make	Company or brand name
Model	Car category
Year	Production year
Engine fuel type	Engine fuel combustion type
Engine HP	Horse power capability of the engine
Engine cylinders	Number of cylinders
Transmission type	Automatic, manual etc
Driven_wheels	type of wheel drive
Number of doors	Available doors attached to the car
Market_category	Targeted audience for the car
Vehicle size	dimension of the car
Vehicle style	car design appeal
Highway MPG	Highway miles travelled
City MPG	City miles attainable
Popularity	Numeric figure
MSRP	Manufacturers' recommended pricing

Dependencies and packages

1. numpy>=1.20.0,<1.21.0
2. pandas>=1.3.5,<1.4.0
3. pydantic>=1.8.1,<1.9.0
4. scikit-learn>=1.0.2,<1.1.0
5. strictyaml>=1.3.2,<1.4.0
6. ruamel.yaml==0.16.12
7. feature-engine>=1.0.2,<1.1.0
8. joblib>=1.0.1

Source code link

Source code link: Github link