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Prediction of the prices of Electric Cars⚡ #58
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This script provides a clear and practical approach to predicting electric car prices. It effectively uses machine learning to analyze key features like battery size, driving range, and year of manufacture. By incorporating data cleaning, exploration, and model training, it offers valuable insights into the factors affecting pricing. Enhancing it with additional features, advanced models, or cross-validation could further refine its predictions. Overall, it’s a strong starting point for understanding electric car pricing dynamics. Great Job, Muhannad |
Hi muhannad, Your script is well organised and explained. I think it will be a good idea if you add the perception of sales in X countries or that the price be determined with a focus on the car's long-term usability, considering factors like durability, efficiency, and overall value over time. |
@MaherAssaf19 Thanks for your suggestion. I could possibly make some adjustment on it but I think I might have to create a second issue for it. |
Hello Muhannad, Stay safe |
**### _Description of the script
This script is designed to analyze and predict the prices of electric cars based on important features such as the car's battery size, driving range, and year of manufacture. It is a straightforward tool that uses machine learning to help understand how these features influence car pricing._**
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