Statistical Analysis and Model Building For a water project

I have data that needs thorough statistical analysis and model building. The project involves:
- Using Linear Regression to establish a baseline.
- Implementing Decision Tree Regressor to capture non-linear relationships.
- Applying Random Forest Regressor for robust, ensemble-based predictions.

I would like to have a meeting to discuss statistical concepts, so comfort with discussing these concepts is essential. Please be prepared to:
- Build the models
- Evaluate the models
- Interpret the results

The evaluation metrics we will use to measure model accuracy and reliability include:
- Mean Absolute Error (MAE)
- Root Mean Square Error (RMSE)
- R² Score (Coefficient of Determination)

Following our model evaluation, we will use the best-performing model to forecast water usage for future periods. It will be crucial to visualize and analyze the results to identify consumption patterns, detect anomalies, and derive actionable insights.

Ideal skills for this project include proficiency in statistical analysis and experience with these specific models.