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Car Price Prediction with Random Forest by 24smda010 is a document available to read on EtoBox.
What is Car Price Prediction with Random Forest about?
The document presents a system for predicting used car prices using the Random Forest Regressor algorithm, trained on historical sales data with various features. It outlines the steps for data collection, preprocessing, model training, and evaluation metrics such as Mean Absolute Error and R² score. Additionally, it includes a description of the dataset, the implementation in Jupyter Notebook, and the source code for the model.
- Author
- 24smda010
- Language
- EN