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
- numpy>=1.20.0,<1.21.0
- pandas>=1.3.5,<1.4.0
- pydantic>=1.8.1,<1.9.0
- scikit-learn>=1.0.2,<1.1.0
- strictyaml>=1.3.2,<1.4.0
- ruamel.yaml==0.16.12
- feature-engine>=1.0.2,<1.1.0
- joblib>=1.0.1
Source code link
Source code link: Github link
Release files for car-price-regression-model 3.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| car-price-regression-model-3.0.1.tar.gz | 248.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| car_price_regression_model-3.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 506.2 kB
Release files / car-price-regression-model-3.0.1.tar.gz
| Download URL | car-price-regression-model-3.0.1.tar.gz |
|---|---|
| Size | 248.0 kB |
| Tags | Source |
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Release files / car_price_regression_model-3.0.1-py3-none-any.whl
| Download URL | car_price_regression_model-3.0.1-py3-none-any.whl |
|---|---|
| Size | 258.2 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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