A Practical Approach to Timeseries Forecasting Using Python - Model Evaluation for Underfitting and Overfitting

The video tutorial discusses the concept of epochs in model training, focusing on how varying the number of epochs affects model performance, particularly in terms of overfitting and underfitting. It explains the importance of finding an optimal number of epochs to achieve model stability with low bias and variance. The tutorial also previews future topics, including LSTM models and their applications.

What new insight or understanding did you gain from this video?

Evaluate responses using AI:

OFF