todo

Author: DiogoRibeiro7

_posts/-_ideas/2030-01-01-future_articles_time_series.md

@@ -23,10 +23,10 @@ Here are several article ideas that would complement the ARIMAX time series mode
 
 
 
-### 4. **"Machine Learning Approaches to Time Series Forecasting: A Comparative Analysis"**
+<!-- TODO: **"Machine Learning Approaches to Time Series Forecasting: A Comparative Analysis"**
    - Compare traditional statistical methods (ARIMA, ARIMAX) with machine learning models like LSTM (Long Short-Term Memory), Random Forest, and Prophet for time series forecasting.
    - Discuss the advantages and limitations of each approach.
-   - Provide examples and code implementation in Python.
+   - Provide examples and code implementation in Python. -->
 
 ### 5. **"Multivariate Time Series Forecasting: VAR and VECM Models Explained"**
    - Dive into the Vector AutoRegressive (VAR) model and Vector Error Correction Model (VECM) for multivariate time series data.