https://github.com/brevex/us-used-cars-price-prediction

Machine learning model in Python that predict car prices and classifies the relationship between the efficiency of different engine models and other car characteristics
https://github.com/brevex/us-used-cars-price-prediction

data-science kaggle machine-learning python used-cars

Last synced: 22 days ago
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Machine learning model in Python that predict car prices and classifies the relationship between the efficiency of different engine models and other car characteristics

• Host: GitHub
• URL: https://github.com/brevex/us-used-cars-price-prediction
• Owner: Brevex
• Created: 2023-12-03T23:19:10.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-06-18T22:26:24.000Z (6 months ago)
• Last Synced: 2024-06-19T04:51:58.000Z (6 months ago)
• Topics: data-science, kaggle, machine-learning, python, used-cars
• Language: Jupyter Notebook
• Homepage:
• Size: 165 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
 US Used Cars Price Prediction 



 🔍 About the project 



A machine learning model in Python that classifies the relationship between the efficiency of different engine models and other car characteristics. This project also has a machine learning model that tries to predict the values of cars and the relationship between engine models and horsepower.



 🔮 Technologies Used 





  

    

  




 📊 Analysis Result 



	Importance score for each variable


	
The variable importance score in the context of the random forest algorithm indicates the importance of each

	feature (variable) in predicting the target variable, which, in this case, is the price of the car. In other words, a variable 

	is considered important if removing it from the model results in worse predictions. The importance of the variable is calculated 

	for all trees in the forest and then the average is taken 5.



	


	Average horsepower by engine cylinders


	
Data analysis showing the average horse power value of each engine model in the dataset



	


	Average horsepower score per engine


	
Machine learning model that attempts to establish a relationship between the engine model and the amount of power. The 

	model uses a random forest tree process to assign a score to each model.



	


	Price prediction


	
The scatterplot shows the result of a machine learning model that tries to predict the price of cars. As shown in the graph, only 

	a minority of the values deviate from those predicted by the prediction model, showing a good frequency of hits with approximate values.



	



 - By Breno -