Yes, it can be used but it depends on the applications. The predictive models based on machine learning have wide applicability across time series projects. These models help in facilitating the predictive distribution of time and resources. The most widely applied machine learning methods for time series forecasting projects are :
* Multi-Layer Perceptron (MLP)
* Recurrent Neural Network (RNN)
* Long Short-Term Memory (LSTM)
