Dear Raul,

Thank you for sharing. The visual storytelling is appealing but not informative.

I believe it would be great to join in your words with the video contents as we as to add in the comment box the transcription and the link for those who wish to go deeply.

Hi Rahul, The topic is good but when I tried to click on the link I realized it is not clickable. It would be useful to have link here so that the user does not get distracted or dropped.

Dear Rahul Jain

A statistical model or a machine learning algorithm is said to have underfitting when a model is too simple to capture data complexities. It represents the inability of the model to learn the training data effectively result in poor performance both on the training and testing data. In simple terms, an underfit model’s are inaccurate, especially when applied to new, unseen examples. It mainly happens when we uses very simple model with overly simplified assumptions. To address underfitting problem of the model, we need to use more complex models, with enhanced feature representation, and less regularization.

https://www.geeksforgeeks.org/underfitting-and-overfitting-in-machine-learning/

Regards,

Shafagat