https://github.com/qtle3/random-forest-regressor

This project implements **Random Forest Regression** to predict the salary of an employee based on their position level. Using a dataset that includes position levels and corresponding salaries, this project demonstrates how an ensemble method like Random Forest can improve prediction accuracy by averaging multiple decision trees.
https://github.com/qtle3/random-forest-regressor

ensemble-learning model-training-and-evaluation prediction random-forest-regression

Last synced: 1 day ago
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This project implements **Random Forest Regression** to predict the salary of an employee based on their position level. Using a dataset that includes position levels and corresponding salaries, this project demonstrates how an ensemble method like Random Forest can improve prediction accuracy by averaging multiple decision trees.

• Host: GitHub
• URL: https://github.com/qtle3/random-forest-regressor
• Owner: qtle3
• Created: 2024-08-28T04:12:13.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-08-29T04:30:38.000Z (2 months ago)
• Last Synced: 2024-08-29T05:39:23.335Z (2 months ago)
• Topics: ensemble-learning, model-training-and-evaluation, prediction, random-forest-regression
• Language: Python
• Homepage:
• Size: 8.79 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:

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