Implementing model: Random Forest

[AnaC-Code]

Description Implement a Random Forest model to predict sales using the cleaned sales dataset.

Tasks Data Preparation

Load and preprocess the sales dataset. Handle missing values, encode categorical variables, and split data into training/testing sets.

Model Implementation Initialize and train a Random Forest model. Make predictions on the test data.

Evaluation Assess model performance using metrics like RMSE, MAE, and R-squared.

[AnaC-Code]

@CanBugra the issue is also assigned to Ricardo, I will assign him after he accept the github invitation