Implement RandomForestRegressor for Predictive Modeling

[Mubashir-Ul-Hassan]

In this issue, I will implement the RandomForestRegressor for predictive modeling to improve the performance and accuracy of the current model. The random forest algorithm is an ensemble method that combines multiple decision trees to enhance prediction accuracy and reduce overfitting.

Proposed Changes: Utilize RandomForestRegressor with 100 estimators and a fixed random state of 0 for reproducibility. Fit the model to the training dataset (x_train, y_train). Predict values for the test dataset (x_test). Evaluate the model using the following metrics: Mean Squared Error (MSE) R² Score

[VadisettyRahul]

I'm interested @Mubashir-Ul-Hassan please assign to me.

[Mubashir-Ul-Hassan]

@VadisettyRahul assign to you.