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GitHub / SridharYadav07 / Machine-Learning-Project-Combined-cycle-Power-Plant-

This project is focused on Multiple machine learning models, including Linear Regression, Decision Tree Regression, and Random Forest Regression, were implemented to predict the target variable and evaluated using various metrics like RMSE, MAE, and R-squared. The performance of these models was compared, and the Random Forest Regressor was found.

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Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 1.33 MB
Dependencies parsed at: Pending

Created at: 10 months ago
Updated at: 3 months ago
Pushed at: 3 months ago
Last synced at: 2 months ago

Topics: data-processing, decisiontreeregressor, linear-regression, metrics-evaluation, python, random-forest-regressor, scikit-learn

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